Zhi Wei

Bose, Dipayan, & Lin, Xiang, & Gao, Le, & Wei, Zhi, & Pei, Yonggang, & Robertson, Erle S (2023). Attenuation of IFN signaling due to m6A modification of the host epitranscriptome promotes EBV lytic reactivation. Journal of Biomedical Science, 30(1), 18.

Tian, Tian, & Zhong, Cheng, & Lin, Xiang, & Wei, Zhi, & Hakonarson, Hakon (2023). Complex hierarchical structures in single-cell genomics data unveiled by deep hyperbolic manifold learning. Genome Research, 33(2), 232--246.

Cardinale, Christopher J, & Chang, Xiao, & Wei, Zhi, & Qu, Hui-Qi, & Bradfield, Jonathan P, & Polychronakos, Constantin, & Hakonarson, Hakon (2023). Genome-wide association study of the age of onset of type 1 diabetes reveals HTATIP2 as a novel T cell regulator. Frontiers in Immunology, 14, 1101488.

Benjamin, Ronald, & Giacoletto, Christopher J, & FitzHugh, Zachary T, & Eames, Danielle, & Buczek, Lindsay, & Wu, Xiaogang, & Newsome, Jacklyn, & Han, Mira V, & Pearson, Tony, & Wei, Zhi, & Banerjee, Atoshi, & Brown, Lancer, & Valente, Liz J., & Shen, Shirley, & Deng, Hong-Wen, & Schiller, Martin R. (2022). Data supporting a saturation mutagenesis assay for Tat-driven transcription with the GigaAssay. Data in Brief, 45, 108641.

Lin, Xiang, & Tian, Tian, & Wei, Zhi, & Hakonarson, Hakon (2022). Clustering of single-cell multi-omics data with a multimodal deep learning method. Nature Communications, 13(1), 7705.

Lin, X, & Gao, L, & Whitener, N, & Ahmed, A, & Wei, Zhi (2022). A model-based constrained deep learning clustering approach for spatially resolved single-cell data.. Genome research,

Yin, Q, & Chen, W, & Zhang, C, & Wei, Zhi (2022). A convolutional neural network model for survival prediction based on prognosis-related cascaded Wx feature selection.. Laboratory investigation; a journal of technical methods and pathology, 102(10), 1064-1074.

Li , J, & Li , Y R, & Glessner, J T, & Yang, J, & March, M E, & Kao, C, & Vaccaro, C N, & Bradfield, J P, & Li , J, & Mentch, F D, & Qu, H Q, & Qi, X, & Chang, X, & Hou, C, & Abrams, D J, & Qiu, H, & Wei, Zhi, & Connolly, J J, & Wang, F, & Snyder, J, & Flatø, B, & Thompson, S D, & Langefeld, C D, & Lie, B A, & Munro, J E, & Wise, C, & Sleiman PMA, , & Hakonarson, H (2022). Identification of Novel Loci Shared by Juvenile Idiopathic Arthritis Subtypes Through Integrative Genetic Analysis.. Arthritis & rheumatology (Hoboken, N.J.), 74(8), 1420-1429.

Jia, Yang, & Zhang, Xinmeng, & Du, Hanrong, & Chen, Weiguang, & Jin, Xiaohui, & Qi, Wei, & Yang, Bin, & Zhang, Qiujuan, & Wei, Zhi (2022). Fine-grained precise-bone age assessment by integrating prior knowledge and recursive feature pyramid network. EURASIP Journal on Image and Video Processing, 2022(1), 12.

Yang, Liulin, & Li, Yu, & Wei, Zhi (2022). Fa-Mb-ResNet for Grounding Fault Identification and Line Selection in the Distribution Networks. IEEE Internet of Things Journal,

Benjamin, R, & Giacoletto, C J, & FitzHugh, Z T, & Eames, D, & Buczek, L, & Wu, X, & Newsome, J, & Han, M V, & Pearson, T, & Wei, Zhi, & Banerjee, A, & Brown, L, & Valente, L J, & Shen, S, & Deng, H W, & Schiller, M R (2022). GigaAssay - An adaptable high-throughput saturation mutagenesis assay platform.. Genomics, 114(4), 110439.

Hristova, D M, & Fukumoto, T, & Takemori, C, & Gao, L, & Hua, X, & Wang, J X, & Li , L, & Beqiri, M, & Watters, A, & Vultur, A, & Gimie, Y, & Rebecca, V, & Samarkina, A, & Jimbo, H, & Nishigori, C, & Zhang, J, & Cheng, C, & Wei, Zhi, & Somasundaram, R, & Fukunaga-Kalabis, M, & Herlyn, M (2022). NUMB as a Therapeutic Target for Melanoma.. The Journal of investigative dermatology, 142(7), 1882-1892.e5.

Wei, S, & Yin, D, & Yu, S, & Lin, X, & Savani, M R, & Du , K, & Ku, Y, & Wu, D, & Li , S, & Liu, H, & Tian, M, & Chen, Y, & Bowie, M, & Hariharan, S, & Waitkus, M, & Keir, S T, & Sugarman, E T, & Deek, R A, & Labrie, M, & Khasraw, M, & Lu, Y, & Mills, G B, & Herlyn, M, & Wu, K, & Liu, L, & Wei, Zhi, & Flaherty, K T, & Abdullah, K, & Zhang, G, & Ashley, D M (2022). Antitumor Activity of a Mitochondrial-Targeted HSP90 Inhibitor in Gliomas.. Clinical cancer research : an official journal of the American Association for Cancer Research, 28(10), 2180-2195.

Turki, Turki, & Wei, Zhi (2022). Improved Deep Convolutional Neural Networks via Boosting for Predicting the Quality of In Vitro Bovine Embryos. Electronics, 11(9), 1363.

Tan, F, & Hu, C, & Hu, Y, & Yen, K, & Wei, Zhi, & Pappu, A, & Park, S, & Li , K (2022). MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation.. IEEE transactions on neural networks and learning systems, PP,

Tong CCL, , & Koptyra, M, & Raman, P, & Rathi, K S, & Choudhari, N, & Lin, X, & Seckar, T, & Wei, Zhi, & Kohanski, M A, & O'Malley, B W, & Cohen, N A, & Kennedy, D W, & Adappa, N D, & Robertson, E S, & Baranov, E, & Kuan, E C, & Papagiannopoulos, P, & Jalaly, J B, & Feldman, M D, & Storm, P B, & Resnick, A C, & Palmer, J N (2022). Targeted gene expression profiling of inverted papilloma and squamous cell carcinoma.. International forum of allergy & rhinology, 12(2), 200-209.

Das, S, & Feng, Q, & Balasubramanian, I, & Lin, X, & Liu, H, & Pellón-Cardenas, O, & Yu, S, & Zhang, X, & Liu, Y, & Wei, Zhi, & Bonder, E M, & Verzi, M P, & Hsu, W, & Zhang, L, & Wang, T C, & Gao, N (2022). Colonic healing requires Wnt produced by epithelium as well as Tagln+ and Acta2+ stromal cells.. Development (Cambridge, England), 149(1),

Lin, Xiang, & Liu, Haoran, & Wei, Zhi, & Roy, Senjuti Basu, & Gao, Nan (2021). An active learning approach for clustering single-cell RNA-seq data. Laboratory Investigation, 1--9.

Yu, S, & Wei, S, & Savani, M, & Lin, X, & Du , K, & Mender, I, & Siteni, S, & Vasilopoulos, T, & Reitman, Z J, & Ku, Y, & Wu, D, & Liu, H, & Tian, M, & Chen, Y, & Labrie, M, & Charbonneau, C M, & Sugarman, E, & Bowie, M, & Hariharan, S, & Waitkus, M, & Jiang, W, & McLendon, R E, & Pan, E, & Khasraw, M, & Walsh, K M, & Lu, Y, & Herlyn, M, & Mills, G, & Herbig, U, & Wei, Zhi, & Keir, S T, & Flaherty, K, & Liu, L, & Wu, K, & Shay, J W, & Abdullah, K, & Zhang, G, & Ashley, D M (2021). A Modified Nucleoside 6-Thio-2'-Deoxyguanosine Exhibits Antitumor Activity in Gliomas.. Clinical cancer research : an official journal of the American Association for Cancer Research, 27(24), 6800-6814.

Liu, Jianglan, & Rebecca, Vito W., & Kossenkov, Andrew V., & Connelly, Thomas, & Liu, Qin, & Gutierrez, Alexis, & Xiao, Min, & Li, Ling, & Zhang, Gao, & Samarkina, Anastasia, & Zayasbazan, Delaine, & Zhang, Jie, & Cheng, Chaoran, & Wei, Zhi, & Alicea, Gretchen M., & Fukunaga-Kalabis, Mizuho, & Krepler, Clemens, & Aza-Blanc, Pedro, & Yang, Chih-Cheng, & Delvadia, Bela, & Tong, Cynthia, & Huang, Ye, & Delvadia, Maya, & Morias, Alice S., & Sproesser, Katrin, & Brafford, Patricia, & Wang, Joshua X., & Beqiri, Marilda, & Somasundaram, Rajasekharan, & Vultur, Adina, & Hristova, Denitsa M., & Wu, Lawrence W., & Lu, Yiling, & Mills, Gordon B., & Xu, Wei, & Karakousis, Giorgos C., & Xu, Xiaowei, & Schuchter, Lynn M., & Mitchell, Tara C., & Amaravadi, Ravi K., & Kwong, Lawrence N., & Frederick, Dennie T., & Boland, Genevieve M., & Salvino, Joseph M., & Speicher, David W., & Flaherty, Keith T., & Ronai, Ze'ev A., , & Herlyn, Meenhard (2021). Neural Crest-Like Stem Cell Transcriptome Analysis Identifies LPAR1 in Melanoma Progression and Therapy Resistance. Cancer Research, 81(20), 5230--5241.

Du, Kuang, & Wei, Shiyou, & Wei, Zhi, & Frederick, Dennie T., & Miao, Benchun, & Moll, Tabea, & Tian, Tian, & Sugarman, Eric, & Gabrilovich, Dmitry I., & Sullivan, Ryan J., & Liu, Lunxu, & Flaherty, Keith T., & Boland, Genevieve M., & Herlyn, Meenhard, & Zhang, Gao (2021). Pathway signatures derived from on-treatment tumor specimens predict response to anti-PD1 blockade in metastatic melanoma. Nature Communications, 12(1),

Banerjee, Sagarika, & Wei, Zhi, & Tian, Tian, & Bose, Dipayan, & Shih, Natalie NC, & Feldman, Michael D, & Khoury, Thaer, & De Michele, Angela, & Robertson, Erle S (2021). Prognostic correlations with the microbiome of breast cancer subtypes. Cell Death & Disease, 12(9), 1--14.

Buono, Russell J., & Bradfield, Jonathan P., & Wei, Zhi, & Sperling, Michael R., & Dlugos, Dennis J., & Privitera, Michael D., & French, Jacqueline A., & Lo, Warren, & Cossette, Patrick, & Schachter, Steven C., & Basehore, Heather, & Lohoff, Falk W., & Grant, Struan F.A., & Ferraro, Thomas N., & Hakonarson, Hakon (2021). Genetic variation in PADI6-PADI4 on 1p36.13 is associated with common forms of human generalized epilepsy. Genes, 12(9),

Tian, Tian, & Min, Martin Renqiang, & Wei, Zhi (2021). Model-based autoencoders for imputing discrete single-cell RNA-seq data. Methods, 192, 112-119.

Wang, Beike, & Zhang, Wei, & Zhang, Gao, & Kwong, Lawrence, & Lu, Hezhe, & Tan, Jiufeng, & Sadek, Norah, & Xiao, Min, & Zhang, Jie, & Labrie, Marilyne, & Randell, Sergio, & Beroard, Aurelie, & Sugarman, Eric, & Rebecca, Vito W., & Wei, Zhi, & Lu, Yiling, & Mills, Gordon B., & Field, Jeffrey, & Villanueva, Jessie, & Xu, Xiaowei, & Herlyn, Meenhard, & Guo, Wei (2021). Targeting mTOR signaling overcomes acquired resistance to combined BRAF and MEK inhibition in BRAF-mutant melanoma. Oncogene, 40(37), 5590-5599.

Lin, Xiang, & Zhang, Jie, & Wei, Zhi, & Turki, Turki (2021). An Omnibus Test for Differential Distribution Analysis of Continuous Microbiome Data. IEEE Access, 9, 100029-100039.

Rajasekaran, Karthik, & Carey, Ryan M., & Lin, Xiang, & Seckar, Tyler D., & Wei, Zhi, & Chorath, Kevin, & Newman, Jason G., & O'Malley, Bert W., & Weinstein, Gregory S., & Feldman, Michael D., & Robertson, Erle (2021). The microbiome of HPV-positive tonsil squamous cell carcinoma and neck metastasis. Oral Oncology, 117,

Hou, Xiurui, & Wang, Kai, & Zhong, Cheng, & Wei, Zhi (2021). ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement. IEEE/CAA Journal of Automatica Sinica, 8(5), 1015-1024.

Tian, Tian, & Zhang, Jie, & Lin, Xiang, & Wei, Zhi, & Hakonarson, Hakon (2021). Model-based deep embedding for constrained clustering analysis of single cell RNA-seq data. Nature Communications, 12(1),

Seckar, Tyler, & Lin, Xiang, & Bose, Dipayan, & Wei, Zhi, & Rohrbaugh, Joseph, & Collman, Ronald G., & Robertson, Erle S. (2021). Detection of Microbial Agents in Oropharyngeal and Nasopharyngeal Samples of SARS-CoV-2 Patients. Frontiers in Microbiology, 12,

Glessner, Joseph T., & Chang, Xiao, & Liu, Yichuan, & Li, Jin, & Khan, Munir, & Wei, Zhi, & Sleiman, Patrick M.A., & Hakonarson, Hakon (2021). MONTAGE: a new tool for high-throughput detection of mosaic copy number variation. BMC Genomics, 22(1),

Abegaz, Fentaw, & Van Lishout, François, & Mahachie John, Jestinah M., & Chiachoompu, Kridsadakorn, & Bhardwaj, Archana, & Duroux, Diane, & Gusareva, Elena S., & Wei, Zhi, & Hakonarson, Hakon, & Van Steen, Kristel (2021). Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure. BioData Mining, 14(1),

Gromeier, Matthias, & Brown, Michael C., & Zhang, Gao, & Lin, Xiang, & Chen, Yeqing, & Wei, Zhi, & Beaubier, Nike, & Yan, Hai, & He, Yiping, & Desjardins, Annick, & Herndon, James E., & Varn, Frederick S., & Verhaak, Roel G., & Zhao, Junfei, & Bolognesi, Dani P., & Friedman, Allan H., & Friedman, Henry S., & McSherry, Frances, & Muscat, Andrea M., & Lipp, Eric S., & Nair, Smita K., & Khasraw, Mustafa, & Peters, Katherine B., & Randazzo, Dina, & Sampson, John H., & McLendon, Roger E., & Bigner, Darell D., & Ashley, David M. (2021). Very low mutation burden is a feature of inflamed recurrent glioblastomas responsive to cancer immunotherapy. Nature Communications, 12(1),

Glessner, Joseph T, & Hou, Xiurui, & Zhong, Cheng, & Zhang, Jie, & Khan, Munir, & Brand, Fabian, & Krawitz, Peter, & Sleiman, Patrick M A, & Hakonarson, Hakon, & Wei, Zhi (2021). DeepCNV: a deep learning approach for authenticating copy number variations. Briefings in Bioinformatics, 22(5),

Tian, Tian, & Cheng, Ruihua, & Wei, Zhi (2021). An empirical bayes change-point model for transcriptome time-course data. Annals of Applied Statistics, 15(1), 509-526.

Li, Yun Rose, & Glessner, Joseph T., & Coe, Bradley P., & Li, Jin, & Mohebnasab, Maede, & Chang, Xiao, & Connolly, John, & Kao, Charlly, & Wei, Zhi, & Bradfield, Jonathan, & Kim, Cecilia, & Hou, Cuiping, & Khan, Munir, & Mentch, Frank, & Qiu, Haijun, & Bakay, Marina, & Cardinale, Christopher, & Lemma, Maria, & Abrams, Debra, & Bridglall-Jhingoor, Andrew, & Behr, Meckenzie, & Harrison, Shanell, & Otieno, George, & Thomas, Alexandria, & Wang, Fengxiang, & Chiavacci, Rosetta, & Wu, Lawrence, & Hadley, Dexter, & Goldmuntz, Elizabeth, & Elia, Josephine, & Maris, John, & Grundmeier, Robert, & Devoto, Marcella, & Keating, Brendan, & March, Michael, & Pellagrino, Renata, & Grant, Struan F.A., & Sleiman, Patrick M.A., & Li, Mingyao, & Eichler, Evan E., & Hakonarson, Hakon (2020). Rare copy number variants in over 100,000 European ancestry subjects reveal multiple disease associations. Nature Communications, 11(1),

Pei, Yonggang, & Wong, Josiah Hiu-yuen, & Jha, Hem Chandra, & Tian, Tian, & Wei, Zhi, & Robertson, Erle S (2020). Epstein-Barr Virus Facilitates Expression of KLF14 by Regulating the Cooperative Binding of the E2F-Rb-HDAC Complex in Latent Infection. Journal of Virology, 94(22),

Wang, Liangliang, & Gao, Yan, & Zhang, Gao, & Li, Dan, & Wang, Zhenda, & Zhang, Jie, & Hermida, Leandro C., & He, Lei, & Wang, Zhisong, & Si, Jingwen, & Geng, Shuang, & Ai, Rizi, & Ning, Fei, & Cheng, Chaoran, & Deng, Haiteng, & Dimitrov, Dimiter S., & Sun, Yan, & Huang, Yanyi, & Wang, Dong, & Hu, Xiaoyu, & Wei, Zhi, & Wang, Wei, & Liao, Xuebin (2020). Enhancing KDM5A and TLR activity improves the response to immune checkpoint blockade. Science translational medicine, 12(560),

Yu, Shiyan, & Balasubramanian, Iyshwarya, & Laubitz, Daniel, & Tong, Kevin, & Bandyopadhyay, Sheila, & Lin, Xiang, & Flores, Juan, & Singh, Rajbir, & Liu, Yue, & Macazana, Carlos, & Zhao, Yanlin, & Béguet-Crespel, Fabienne, & Patil, Karuna, & Midura-Kiela, Monica T., & Wang, Daniel, & Yap, George S., & Ferraris, Ronaldo P., & Wei, Zhi, & Bonder, Edward M., & Häggblom, Max M., & Zhang, Lanjing, & Douard, Veronique, & Verzi, Michael P., & Cadwell, Ken, & Kiela, Pawel R., & Gao, Nan (2020). Paneth Cell-Derived Lysozyme Defines the Composition of Mucolytic Microbiota and the Inflammatory Tone of the Intestine. Immunity, 53(2), 398-416.e8.

Tan, Fei, & Tian, Tian, & Hou, Xiurui, & Yu, Xiang, & Gu, Lei, & Mafra, Fernanda, & Gregory, Brian D., & Wei, Zhi, & Hakonarson, Hakon (2020). Elucidation of DNA methylation on N ⁶-adenine with deep learning. Nature Machine Intelligence, 2(8), 466-475.

Cardinale, Christopher J., & March, Michael E., & Lin, Xiang, & Liu, Yichuan, & Spruce, Lynn A., & Bradfield, Jonathan P., & Wei, Zhi, & Seeholzer, Steven H., & Grant, Struan F.A., & Hakonarson, Hakon (2020). Regulation of Janus Kinase 2 by an Inflammatory Bowel Disease Causal Non-coding Single Nucleotide Polymorphism. Journal of Crohn's and Colitis, 14(5), 646-653.

Yue, Hongyun, & Wei, Zhi, & Chen, Qingjiang, & Zhang, Xiaoyan (2020). Dynamic surface control for a class of nonlinearly parameterized systems with input time delay using neural network. Journal of the Franklin Institute, 357(4), 1961-1986.

Carey, Ryan M., & Rajasekaran, Karthik, & Seckar, Tyler, & Lin, Xiang, & Wei, Zhi, & Tong, Charles C.L., & Ranasinghe, Viran J., & Newman, Jason G., & O'Malley, Bert W., & Weinstein, Gregory S., & Feldman, Michael D., & Robertson, Erle S. (2020). The virome of HPV-positive tonsil squamous cell carcinoma and neck metastasis. Oncotarget, 11(3), 282-293.

Hou, Xiurui, & Wang, Kai, & Zhang, Jie, & Wei, Zhi (2020). An Enriched Time-Series Forecasting Framework for Long-Short Portfolio Strategy. IEEE Access, 8, 31992-32002.

Pan, Xiaoying, & Zhao, Yizhe, & Chen, Hao, & Wei, De, & Zhao, Chen, & Wei, Zhi (2020). Fully Automated Bone Age Assessment on Large-Scale Hand X-Ray Dataset. International Journal of Biomedical Imaging, 2020,

Li, Jin, & Wei, Zhi, & Zhang, Jie, & Hakonarson, Hakon, & Cook-Sather, Scott D. (2019). Candidate gene analyses for acute pain and morphine analgesia after pediatric day surgery: African American versus European Caucasian ancestry and dose prediction limits. Pharmacogenomics Journal, 19(6), 570-581.

Aloia, Andrea, & Müllhaupt, Daniela, & Chabbert, Christophe D., & Eberhart, Tanja, & Flückiger-Mangual, Stefanie, & Vukolic, Ana, & Eichhoff, Ossia, & Irmisch, Anja, & Alexander, Leila T., & Scibona, Ernesto, & Frederick, Dennie T., & Miao, Benchun, & Tian, Tian, & Cheng, Chaoran, & Kwong, Lawrence N., & Wei, Zhi, & Sullivan, Ryan J., & Boland, Genevieve M., & Herlyn, Meenhard, & Flaherty, Keith T., & Zamboni, Nicola, & Dummer, Reinhard, & Zhang, Gao, & Levesque, Mitchell P., & Krek, Wilhelm, & Kovacs, Werner J. (2019). A Fatty Acid Oxidation-dependent Metabolic Shift Regulates the Adaptation of BRAF-mutated Melanoma to MAPK Inhibitors. Clinical Cancer Research, 25(22), 6852-6867.

Abegaz, Fentaw, & Van Lishout, François, & Mahachie John, Jestinah M., & Chiachoompu, Kridsadakorn, & Bhardwaj, Archana, & Gusareva, Elena S., & Wei, Zhi, & Hakonarson, Hakon, & Van Steen, Kristel (2019). Epistasis Detection in Genome-Wide Screening for Complex Human Diseases in Structured Populations. Systems Medicine, 2(1), 19-27.

Li, Xiali, & He, Shuai, & Wei, Zhi, & Wu, Licheng (2019). Improved Online Sequential Extreme Learning Machine: A New Intelligent Evaluation Method for AZ-Style Algorithms. IEEE Access, 7, 124891-124901.

Li, Xiali, & Lv, Zhengyu, & Wang, Song, & Wei, Zhi, & Wu, Licheng (2019). A Reinforcement Learning Model Based on Temporal Difference Algorithm. IEEE Access, 7, 121922--121930.

Li, Xiali, & Lv, Zhengyu, & Wang, Song, & Wei, Zhi, & Zhang, Xiaochuan, & Wu, Licheng (2019). A Middle Game Search Algorithm Applicable to Low-Cost Personal Computer for Go. IEEE Access, 7, 121719--121727.

Banerjee, Sagarika, & Alwine, James C., & Wei, Zhi, & Tian, Tian, & Shih, Natalie, & Sperling, Colin, & Guzzo, Thomas, & Feldman, Michael D., & Robertson, Erle S. (2019). Microbiome signatures in prostate cancer. Carcinogenesis, 40(6), 749-764.

Zhang, Jie, & Wei, Zhi, & Yan, Zhenyu, & Zhou, Mengchu, & Pani, Abhishek (2019). Online Change-Point Detection in Sparse Time Series with Application to Online Advertising. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(6), 1141-1151.

Tan, Fei, & Cheng, Chaoran, & Wei, Zhi (2019). Modeling and elucidation of housing price. Data Mining and Knowledge Discovery, 33(3), 636-662.

Tan, Fei, & Hou, Xiurui, & Zhang, Jie, & Wei, Zhi, & Yan, Zhenyu (2019). A Deep Learning Approach to Competing Risks Representation in Peer-to-Peer Lending. IEEE Transactions on Neural Networks and Learning Systems, 30(5), 1565-1574.

Tian, Tian, & Wan, Ji, & Song, Qi, & Wei, Zhi (2019). Clustering single-cell RNA-seq data with a model-based deep learning approach. Nature Machine Intelligence, 1(4), 191.

Zhang, Jie, & Zhao, Zhigen, & Zhang, Kai, & Wei, Zhi (2019). A feature sampling strategy for analysis of high dimensional genomic data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(2), 434-441.

Ojha, Rani, & Leli, Nektaria M., & Onorati, Angelique, & Piao, Shengfu, & Verginadis, Ioannis I., & Tameire, Feven, & Rebecca, Vito W., & Chude, Cynthia I., & Murugan, Sengottuvelan, & Fennelly, Colin, & Noguera-Ortega, Estela, & Liu, Shujing, & Xu, Xiaowei, & Krepler, Clemens, & Xiao, Min, & Xu, Wei, & Wei, Zhi, & Frederick, Dennie T., & Boland, Genevieve, & Mitchell, Tara C., & Karakousis, Giorgos C., & Schuchter, Lynn M., & Flaherty, Keith T., & Zhang, Gao, & Herlyn, Meenhard, & Koumenis, Constantinos, & Amaravadi, Ravi K. (2019). Er translocation of the mapk pathway drives therapy resistance in BRAF-mutant melanoma. Cancer Discovery, 9(3), 396-415.

Sahu, Avinash Das, & S Lee, Joo, & Wang, Zhiyong, & Zhang, Gao, & Iglesias-Bartolome, Ramiro, & Tian, Tian, & Wei, Zhi, & Miao, Benchun, & Nair, Nishanth Ulhas, & Ponomarova, Olga, & Friedman, Adam A., & Amzallag, Arnaud, & Moll, Tabea, & Kasumova, Gyulnara, & Greninger, Patricia, & Egan, Regina K., & Damon, Leah J., & Frederick, Dennie T., & Jerby-Arnon, Livnat, & Wagner, Allon, & Cheng, Kuoyuan, & Park, Seung Gu, & Robinson, Welles, & Gardner, Kevin, & Boland, Genevieve, & Hannenhalli, Sridhar, & Herlyn, Meenhard, & Benes, Cyril, & Flaherty, Keith, & Luo, Ji, & Gutkind, J. Silvio, & Ruppin, Eytan (2019). Genome-wide prediction of synthetic rescue mediators of resistance to targeted and immunotherapy. Molecular Systems Biology, 15(3),

Yin, Chengqian, & Zhu, Bo, & Zhang, Ting, & Liu, Tongzheng, & Chen, Shuyang, & Liu, Yu, & Li, Xin, & Miao, Xiao, & Li, Shanshan, & Mi, Xia, & Zhang, Jie, & Li, Li, & Wei, Guo, & Xu, Zhi xiang, & Gao, Xiumei, & Huang, Canhua, & Wei, Zhi, & Goding, Colin R., & Wang, Peng, & Deng, Xianming, & Cui, Rutao (2019). Pharmacological Targeting of STK19 Inhibits Oncogenic NRAS-Driven Melanomagenesis. Cell, 176(5), 1113-1127.e16.

Gao, Xin, & Wei, Zhi, & Hakonarson, Hakon (2019). TRNA-DL: A Deep Learning Approach to Improve tRNAscan-SE Prediction Results. Human Heredity, 83(3), 163-172.

Zhang, Jie, & Wei, Zhi, & Cardinale, Christopher J., & Gusareva, Elena S., & Van Steen, Kristel, & Sleiman, Patrick, & Hakonarson, Hakon (2019). Multiple epistasis interactions within MHC are associated with ulcerative colitis. Frontiers in Genetics, 10,

Xiong, Xiaoping, & Wu, Wenliang, & Li, Ning, & Yang, Lu, & Zhang, Jie, & Wei, Zhi (2019). Risk-based multi-objective optimization of distributed generation based on GPSO-BFA algorithm. IEEE Access, 7, 30563-30572.

Sun, Yan, & Yao, Xueming, & March, Michael E., & Meng, Xinyi, & Li, Junyi, & Wei, Zhi, & Sleiman, Patrick M.A., & Hakonarson, Hakon, & Xia, Qianghua, & Li, Jin (2019). Target genes of autism risk loci in brain frontal cortex. Frontiers in Genetics, 10(JUL),

Kang, Q., & Shi, L., & Zhou, Mengchu, & Wang, Xianqin, & Wu, Q., & Wei, Zhi (2018). A Distance-Based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification. IEEE Transactions on Neural Networks and Learning Systems, 29(9), 4152-4165.

The International League Against Epilepsy Consortium on Complex Epilepsies, , & Wei, Zhi (2018). Genome-wide mega-analysis identifies 16 loci and highlights diverse biological mechanisms in the common epilepsies. Nature Communications, 9, 5269.

Momozawa, Yukihide, & Dmitrieva, Julia, & Theatre, Emilie, & Deffontaine, Valerie, & Rahmouni, Souad, & Charloteaux, Benoit, & Crins, Francois, & Docampo, Elisa, & Elansary, Mahmoud, & Gori, Ann-Stephan, & Lecut, Christelle, & Mariman, Rob, & Mni, Myriam, & Oury, Cecile, & Altukhov, Ilya, & Alexeev, Dmitry, & Aulchenko, Yuri, & Amininejad, Leila, & Bouma, Gerd, & Hoentjen, Frank, & Lowenberg, Mark, & Oldenburg, Bas, & Pierik, Marieke J, & vander Meulen-de Jong, Andrea E, , & van der Woude, C Janneke, , & Visschedijk, Marijn C, & IBD Genetics, Consortium, & Wei, Zhi, & Lathrop, Mark, & Hugot, Jean-Pierre, & Weersma, Rinse K, & De Vos, Martine, & Franchimont, Denis, & Vermeire, Severine, & Kubo, Michiaki, & Louis, Edouard, & Georges, Michel (2018). IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes. NATURE COMMUNICATIONS, 9, 2427.

Liu, Shujing, & Zhang, Gao, & Guo, Jianping, & Chen, Xiang, & Lei, Jingce, & Ze, Kan, & Dong, Liyun, & Dai, Xiangpeng, & Gao, Yang, & Song, Daisheng, & Ecker, Brett, & Yang, Ruifeng, & Feltcher, Caitlin, & Peng, Kai, & Feng, Cheng, & Chen, Hui, & Lee, Rebecca X., & Kerestes, Heddy, & Niu, Jingwen, & Kumar, Suresh, & Xu, Weiting, & Zhang, Jie, & Wei, Zhi, & Martin, James S., & Liu, Xiaoming, & Mills, Gordon, & Lu, Yiling, & Guo, Wei, & Sun, Lunquan, & Zhang, Lin, & Weeraratna, Ashani, & Herlyn, Meenhard, & Wei, Wenyi, & Lee, Frank S., & Xu, Xiaowei (2018). Loss of Phd2 cooperates with BRAF ^V600E to drive melanomagenesis. Nature Communications, 9(1),

Ferguson, Jane F., & Xue, Chenyi, & Gao, Yuanfeng, & Tian, Tian, & Shi, Jianting, & Zhang, Xuan, & Wang, Ying, & Li, Yuhuang D., & Wei, Zhi, & Li, Mingyao, & Zhang, Hanrui, & Reilly, Muredach P. (2018). Tissue-Specific Differential Expression of Novel Genes and Long Intergenic Noncoding RNAs in Humans With Extreme Response to Evoked Endotoxemia. Circulation. Genomic and precision medicine, 11(11), e001907.

Turki, Turki, & Wei, Zhi (2018). Boosting support vector machines for cancer discrimination tasks. Computers in Biology and Medicine, 101, 236-249.

Simpkins, Fiona, & Jang, Kibeom, & Yoon, Hyunho, & Hew, Karina E., & Kim, Minsoon, & Azzam, Diana J., & Sun, Jun, & Zhao, Dekuang, & Ince, Tan A., & Liu, Wenbin, & Guo, Wei, & Wei, Zhi, & Zhang, Gao, & Mills, Gordon B., & Slingerland, Joyce M. (2018). Dual Src and MEK inhibition decreases ovarian cancer growth and targets tumor initiating stem-like cells. Clinical Cancer Research, 24(19), 4874-4886.

Zhang, Gao, & Wu, Lawrence W., & Mender, Ilgen, & Barzily-Rokni, Michal, & Hammond, Marc R., & Ope, Omotayo, & Cheng, Chaoran, & Vasilopoulos, Themistoklis, & Randell, Sergio, & Sadek, Norah, & Beroard, Aurelie, & Xiao, Min, & Tian, Tian, & Tan, Jiufeng, & Saeed, Umar, & Sugarman, Eric, & Krepler, Clemens, & Brafford, Patricia, & Sproesser, Katrin, & Murugan, Sengottuvelan, & Somasundaram, Rajasekharan, & Garman, Bradley, & Wubbenhorst, Bradley, & Woo, Jonathan, & Yin, Xiangfan, & Liu, Qin, & Frederick, Dennie T., & Miao, Benchun, & Xu, Wei, & Karakousis, Giorgos C., & Xu, Xiaowei, & Schuchter, Lynn M., & Mitchell, Tara C., & Kwong, Lawrence N., & Amaravadi, Ravi K., & Lu, Yiling, & Boland, Genevieve M., & Wei, Zhi, & Nathanson, Katherine, & Herbig, Utz, & Mills, Gordon B., & Flaherty, Keith T., & Herlyn, Meenhard, & Shay, Jerry W. (2018). Induction of telomere dysfunction prolongs disease control of therapy-resistant melanoma. Clinical Cancer Research, 24(19), 4771-4784.

Kang, Q., & Shi, L., & Zhou, Mengchu, & Wang, X., & Wu, Q., & Wei, Zhi (2018). A Distance-Based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification. IEEE Transactions on Neural Networks and Learning Systems, 29(9), 4152-4165.

Tian, Tian, & Wan, Ji, & Han, Yan, & Liu, Haoran, & Gao, Feng, & Pan, Youdong, & Song, Qi, & Wei, Zhi (2018). A comprehensive survey of immune cytolytic activity-associated gene co-expression networks across 17 tumor and normal tissue types. Cancers, 10(9),

Tian, Tian, & Wei, Zhi, & Chang, Xiao, & Liu, Yichuan, & Gur, Raquel E., & Sleiman, Patrick M. A., & Hakonarson, Hakon (2018). The Long Noncoding RNA Landscape in Amygdala Tissues from Schizophrenia Patients. EBioMedicine, 34, 171-181.

Auslander, Noam, & Zhang, Gao, & Lee, Joo Sang, & Frederick, Dennie T., & Miao, Benchun, & Moll, Tabea, & Tian, Tian, & Wei, Zhi, & Madan, Sanna, & Sullivan, Ryan J., & Boland, Genevieve, & Flaherty, Keith, & Herlyn, Meenhard, & Ruppin, Eytan (2018). Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma. Nature Medicine(24), 1545–1549.

Cañadas, Israel, & Thummalapalli, Rohit, & Kim, Jong Wook, & Kitajima, Shunsuke, & Jenkins, Russell William, & Christensen, Camilla Laulund, & Campisi, Marco, & Kuang, Yanan, & Zhang, Yanxi, & Gjini, Evisa, & Zhang, Gao, & Tian, Tian, & Sen, Debattama Rai, & Miao, Diana, & Imamura, Yu, & Thai, Tran, & Piel, Brandon, & Terai, Hideki, & Aref, Amir Reza, & Hagan, Timothy, & Koyama, Shohei, & Watanabe, Masayuki, & Baba, Hideo, & Adeni, Anika Elise, & Lydon, Christine Anne, & Tamayo, Pablo, & Wei, Zhi, & Herlyn, Meenhard, & Barbie, Thanh Uyen, & Uppaluri, Ravindra, & Sholl, Lynnette Marie, & Sicinska, Ewa, & Sands, Jacob, & Rodig, Scott, & Wong, Kwok Kin, & Paweletz, Cloud Peter, & Watanabe, Hideo, & Barbie, David Allen (2018). Tumor innate immunity primed by specific interferon-stimulated endogenous retroviruses. Nature Medicine, 24(8), 1143-1150.

Turki, T., & Wei, Zhi, & Wang, J. T. L. (2018). A transfer learning approach via procrustes analysis and mean shift for cancer drug sensitivity prediction. J Bioinform Comput Biol, 16(3), 1840014.

Dajani, R., & Shbailat, S. J., & Arafat, A., & Sober, S. A., & Albitar, H. A., & Tayyem, R., & Wei, Zhi, & Hakonarson, H. (2018). Association of genetic variants with macronutrient intake in Circassian and Chechan populations in relation to diabetes. Meta Gene, 16, 199-207.

Yang, L., & Li, Y., & Wei, Zhi, & Chang, X. (2018). Coexpression network analysis identifies transcriptional modules associated with genomic alterations in neuroblastoma. Biochim Biophys Acta, 1864(6 Pt B), 2341-2348.

Yang, L., & Li, Y., & Turki, T., & Tan, H., & Wei, Zhi, & Chang, X. (2018). Weighted Gene Co-Expression Network Analysis Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation in Eating Disorders. Genes, 9(7), 325.

Anttila, Verneri, & Bulik-Sullivan, Brendan, & Finucane, Hilary K., & Walters, Raymond K., & Bras, Jose, & Duncan, Laramie, & Escott-Price, Valentina, & Falcone, Guido J., & Gormley, Padhraig, & Malik, Rainer, & Patsopoulos, Nikolaos A., & Ripke, Stephan, & Wei, Zhi, & Yu, Dongmei, & Lee, Phil H., & Turley, Patrick, & Grenier-Boley, Benjamin, & Chouraki, Vincent, & Kamatani, Yoichiro, & Berr, Claudine, & Letenneur, Luc, & Hannequin, Didier, & Amouyel, Philippe, & Boland, Anne, & Deleuze, Jean-François, & Duron, Emmanuelle, & Vardarajan, Badri N., & Reitz, Christiane, & Goate, Alison M., & Huentelman, Matthew J., & Kamboh, M. Ilyas, & Larson, Eric B., & Rogaeva, Ekaterina, & St George-Hyslop, Peter, & Hakonarson, Hakon, & Kukull, Walter A., & Farrer, Lindsay A., & Barnes, Lisa L., & Beach, Thomas G., & Demirci, F. Yesim, & Head, Elizabeth, & Hulette, Christine M., & Jicha, Gregory A., & Kauwe, John S. K., & Kaye, Jeffrey A., & Leverenz, James B., & Levey, Allan I., & Lieberman, Andrew P., & Pankratz, Vernon S., & Poon, Wayne W., & Quinn, Joseph F., & Saykin, Andrew J., & Schneider, Lon S., & Smith, Amanda G., & Sonnen, Joshua A., & Stern, Robert A., & Van Deerlin, Vivianna M., & Van Eldik, Linda J., & Harold, Denise, & Russo, Giancarlo, & Rubinsztein, David C., & Bayer, Anthony, & Tsolaki, Magda, & Proitsi, Petra, & Fox, Nick C., & Hampel, Harald, & Owen, Michael J., & Mead, Simon, & Passmore, Peter, & Morgan, Kevin, & Nöthen, Markus M., & Schott, Jonathan M., & Rossor, Martin, & Lupton, Michelle K., & Hoffmann, Per, & Kornhuber, Johannes, & Lawlor, Brian, & McQuillin, Andrew, & Al-Chalabi, Ammar, & Bis, Joshua C., & Ruiz, Agustin, & Boada, Mercè, & Seshadri, Sudha, & Beiser, Alexa, & Rice, Kenneth, & van der Lee, Sven J., , & De Jager, Philip L., & Geschwind, Daniel H., & Riemenschneider, Matthias, & Riedel-Heller, Steffi, & Rotter, Jerome I., & Ransmayr, Gerhard, & Hyman, Bradley T., & Cruchaga, Carlos, & Alegret, Montserrat, & Winsvold, Bendik, & Palta, Priit, & Farh, Kai-How, & Cuenca-Leon, Ester, & Furlotte, Nicholas, & others, (2018). Analysis of shared heritability in common disorders of the brain. Science, 360(6395), eaap8757.

Banerjee, S., & Tian, T., & Wei, Zhi, & Shih, N., & Feldman, M. D., & Peck, K. N., & DeMichele, A. M., & Alwine, J. C., & Robertson, E. S. (2018). Distinct Microbial Signatures Associated With Different Breast Cancer Types. Front Microbiol(9), 951.

Zhang, Jie, & Wei, Zhi, & Chen, Jun (2018). A distance-based approach for testing the mediation effect of the human microbiome. Bioinformatics, 34(11), 1875-1883.

Yang, L., & Hang, N., & Wei, Zhi (2018). Dual M-Convex Variable Subsets Family and Extremum Analysis for the OPF Problem. IEEE Access, 6, 27018-27027.

Echevarria-Vargas, I. M., & Reyes-Uribe, P. I., & Guterres, A. N., & Yin, X., & Kossenkov, A. V., & Liu, Q., & Zhang, G., & Krepler, C., & Cheng, C., & Wei, Zhi, & Somasundaram, R., & Karakousis, G., & Xu, W., & Morrissette, J. J., & Lu, Y., & Mills, G. B., & Sullivan, R. J., & Benchun, M., & Frederick, D. T., & Boland, G., & Flaherty, K. T., & Weeraratna, A. T., & Herlyn, M., & Amaravadi, R., & Schuchter, L. M., & Burd, C. E., & Aplin, A. E., & Xu, X., & Villanueva, J. (2018). Co-targeting BET and MEK as salvage therapy for MAPK and checkpoint inhibitor-resistant melanoma. EMBO Mol Med, 10(5), e8446.

Gao, X., & Zhang, J., & Wei, Zhi, & Hakonarson, H. (2018). DeepPolyA: A Convolutional Neural Network Approach for Polyadenylation Site Prediction. IEEE Access, 6, 24340-24349.

Zhang, G., & Wu, L. W., & Mender, I., & Barzily-Rokni, M., & Hammond, M. R., & Ope, O., & Cheng, C., & Vasilopoulos, T., & Randell, S., & Sadek, N., & Beroard, A., & Xiao, M., & Tian, T., & Tan, J., & Saeed, U., & Sugarman, E., & Krepler, C., & Brafford, P., & Sproesser, K., & Murugan, S., & Somasundaram, R., & Garman, B., & Wubbenhorst, B., & Woo, J., & Yin, X., & Liu, Q., & Frederick, D. T., & Miao, B., & Xu, W., & Karakousis, G. C., & Xu, X., & Schuchter, L. M., & Mitchell, T. C., & Kwong, L. N., & Amaravadi, R. K., & Lu, Y., & Boland, G. M., & Wei, Zhi, & Nathanson, K., & Herbig, U., & Mills, G. B., & Flaherty, K. T., & Herlyn, M., & Shay, J. W. (2018). Induction of Telomere Dysfunction Prolongs Disease Control of Therapy-Resistant Melanoma. Clin Cancer Res,

Jenkins, R. W., & Aref, A. R., & Lizotte, P. H., & Ivanova, E., & Stinson, S., & Zhou, C. W., & Bowden, M., & Deng, J., & Liu, H., & Miao, D., & He, M. X., & Walker, W., & Zhang, G., & Tian, T., & Cheng, C., & Wei, Zhi, & Palakurthi, S., & Bittinger, M., & Vitzthum, H., & Kim, J. W., & Merlino, A., & Quinn, M., & Venkataramani, C., & Kaplan, J. A., & Portell, A., & Gokhale, P. C., & Phillips, B., & Smart, A., & Rotem, A., & Jones, R. E., & Keogh, L., & Anguiano, M., & Stapleton, L., & Jia, Z., & Barzily-Rokni, M., & Canadas, I., & Thai, T. C., & Hammond, M. R., & Vlahos, R., & Wang, E. S., & Zhang, H., & Li, S., & Hanna, G. J., & Huang, W., & Hoang, M. P., & Piris, A., & Eliane, J. P., & Stemmer-Rachamimov, A. O., & Cameron, L., & Su, M. J., & Shah, P., & Izar, B., & Thakuria, M., & LeBoeuf, N. R., & Rabinowits, G., & Gunda, V., & Parangi, S., & Cleary, J. M., & Miller, B. C., & Kitajima, S., & Thummalapalli, R., & Miao, B., & Barbie, T. U., & Sivathanu, V., & Wong, J., & Richards, W. G., & Bueno, R., & Yoon, C. H., & Miret, J., & Herlyn, M., & Garraway, L. A., & Van Allen, E. M., & Freeman, G. J., & Kirschmeier, P. T., & Lorch, J. H., & Ott, P. A., & Hodi, F. S., & Flaherty, K. T., & Kamm, R. D., & Boland, G. M., & Wong, K. K., & Dornan, D., & Paweletz, C. P., & Barbie, D. A. (2018). Ex Vivo Profiling of PD-1 Blockade Using Organotypic Tumor Spheroids. Cancer Discov, 8(2), 196-215.

Chen, J, & King, E, & Deek, R, & Wei, Zhi, & Yu, Y, & Grill, D, & Ballman, K, & Stegle, O (2018). An omnibus test for differential distribution analysis of microbiome sequencing data.. Bioinformatics (Oxford, England), 34(4), 643-651.

Heppt, M. V., & Wang, J. X., & Hristova, D. M., & Wei, Zhi, & Li, L., & Evans, B., & Beqiri, M., & Zaman, S., & Zhang, J., & Irmler, M., & Berking, C., & Besch, R., & Beckers, J., & Rauscher, 3rd, F. J., & Sturm, R. A., & Fisher, D. E., & Herlyn, M., & Fukunaga-Kalabis, M. (2018). MSX1-Induced Neural Crest-Like Reprogramming Promotes Melanoma Progression. J Invest Dermatol, 138(1), 141-149.

Zhu, B., & Chen, S., & Wang, H., & Yin, C., & Han, C., & Peng, C., & Liu, Z., & Wan, L., & Zhang, X., & Zhang, J., & Lian, C. G., & Ma, P., & Xu, Z. X., & Prince, S., & Wang, T., & Gao, X., & Shi, Y., & Liu, D., & Liu, M., & Wei, W., & Wei, Zhi, & Pan, J., & Wang, Y., & Xuan, Z., & Hess, J., & Hayward, N. K., & Goding, C. R., & Chen, X., & Zhou, J., & Cui, R. (2018). The protective role of DOT1L in UV-induced melanomagenesis. Nat Commun, 9(1), 259.

Zhang, J., & Wei, Zhi, & Yan, Zhipeng, & Zhou, Mengchu, & Pani, A. (2017). Online Change-Point Detection in Sparse Time Series With Application to Online Advertising. IEEE Transactions on Systems, Man, and Cybernetics: Systems,

Liu, F., & Niu, Q., & Fan, X., & Liu, C., & Zhang, J., & Wei, Zhi, & Hou, W., & Kanneganti, T. D., & Robb, M. L., & Kim, J. H., & Michael, N. L., & Sun, J., & Soong, L., & Hu, H. (2017). Priming and Activation of Inflammasome by Canarypox Virus Vector ALVAC via the cGAS/IFI16-STING-Type I IFN Pathway and AIM2 Sensor. J Immunol, 199(9), 3293-3305.

Rebecca, Vito W., & Nicastri, Michael C., & McLaughlin, Noel, & Fennelly, Colin, & McAfee, Quentin, & Ronghe, Amruta, & Nofal, Michel, & Lim, Chun-Yan, & Witze, Eric, & Chude, Cynthia I., & Zhang, Gao, & Alicea, Gretchen M., & Piao, Shengfu, & Murugan, Sengottuvelan, & Ojha, Rani, & Levi, Samuel M., & Wei, Zhi, & Barber-Rotenberg, Julie S., & Murphy, Maureen E., & Mills, Gordon B., & Lu, Yiling, & Rabinowitz, Joshua, & Marmorstein, Ronen, & Liu, Qin, & Liu, Shujing, & Xu, Xiaowei, & Herlyn, Meenhard, & Zoncu, Roberto, & Brady, Donita C., & Speicher, David W., & Winkler, Jeffrey D., & Amaravadi, Ravi K. (2017). A Unified Approach to Targeting the Lysosome’s Degradative and Growth Signaling Roles. Cancer Discovery, 7(11), 1260-1283.

Turki, Turki, & Wei, Zhi (2017). A link prediction approach to cancer drug sensitivity prediction. BMC Systems Biology, 11(Suppl 5), 94.

Lu, H., & Liu, S., & Zhang, G., & Bin, Wu, & Zhu, Y., & Frederick, D. T., & Hu, Y., & Zhong, W., & Randell, S., & Sadek, N., & Zhang, W., & Chen, G., & Cheng, C., & Zeng, J., & Wu, L. W., & Zhang, J., & Liu, X., & Xu, W., & Krepler, C., & Sproesser, K., & Xiao, M., & Miao, B., & Liu, J., & Song, C. D., & Liu, J. Y., & Karakousis, G. C., & Schuchter, L. M., & Lu, Y., & Mills, G., & Cong, Y., & Chernoff, J., & Guo, J., & Boland, G. M., & Sullivan, R. J., & Wei, Zhi, & Field, J., & Amaravadi, R. K., & Flaherty, K. T., & Herlyn, M., & Xu, X., & Guo, W. (2017). PAK signalling drives acquired drug resistance to MAPK inhibitors in BRAF-mutant melanomas. Nature, 550(7674), 133-136.

Somasundaram, R., & Zhang, G., & Fukunaga-Kalabis, M., & Perego, M., & Krepler, C., & Xu, X., & Wagner, C., & Hristova, D., & Zhang, J., & Tian, T., & Wei, Zhi, & Liu, Q., & Garg, K., & Griss, J., & Hards, R., & Maurer, M., & Hafner, C., & Mayerhofer, M., & Karanikas, G., & Jalili, A., & Bauer-Pohl, V., & Weihsengruber, F., & Rappersberger, K., & Koller, J., & Lang, R., & Hudgens, C., & Chen, G., & Tetzlaff, M., & Wu, L., & Frederick, D. T., & Scolyer, R. A., & Long, G. V., & Damle, M., & Ellingsworth, C., & Grinman, L., & Choi, H., & Gavin, B. J., & Dunagin, M., & Raj, A., & Scholler, N., & Gross, L., & Beqiri, M., & Bennett, K., & Watson, I., & Schaider, H., & Davies, M. A., & Wargo, J., & Czerniecki, B. J., & Schuchter, L., & Herlyn, D., & Flaherty, K., & Herlyn, M., & Wagner, S. N. (2017). Tumor-associated B-cells induce tumor heterogeneity and therapy resistance. Nat Commun, 8(1), 607.

Chang, X., & Zhao, Y., & Hou, C., & Glessner, J., & McDaniel, L., & Diamond, M. A., & Thomas, K., & Li, J., & Wei, Zhi, & Liu, Y., & Guo, Y., & Mentch, F. D., & Qiu, H., & Kim, C., & Evans, P., & Vaksman, Z., & Diskin, S. J., & Attiyeh, E. F., & Sleiman, P., & Maris, J. M., & Hakonarson, H. (2017). Common variants in MMP20 at 11q22.2 predispose to 11q deletion and neuroblastoma risk. Nat Commun, 8(1), 569.

Dajani, Rana, & Li, Jin, & Wei, Zhi, & March, Michael E, & Xia, Qianghua, & Khader, Yousef, & Hakooz, Nancy, & Fatahallah, Raja, & El-Khateeb, Mohammed, & Arafat, Ala, & others, (2017). Genome-wide association study identifies novel type II diabetes risk loci in Jordan subpopulations. PeerJ, 5, e3618.

Leu, JI, & Barnoud, Thibaut, & Zhang, Gao, & Tian, Tian, & Wei, Zhi, & Herlyn, Meenhard, & Murphy, Maureen E, & George, Donna L (2017). Inhibition of stress-inducible HSP70 impairs mitochondrial proteostasis and function.. Oncotarget, 8(28), 45656–45669.

Banerjee, Sagarika, & Tian, Tian, & Wei, Zhi, & Peck, Kristen N, & Shih, Natalie, & Chalian, Ara A, & O'Malley, Bert W, , & Weinstein, Gregory S, & Feldman, Michael D, & Alwine, James, & others, (2017). Microbial Signatures Associated with Oropharyngeal and Oral Squamous Cell Carcinomas. Scientific Reports, 7(1), 4036.

Banerjee, Sagarika, & Tian, Tian, & Wei, Zhi, & Shih, Natalie, & Feldman, Michael D, & Alwine, James C, & Coukos, George, & Robertson, Erle S (2017). The ovarian cancer oncobiome. Oncotarget, 8(22), 36225.

Zhang, Dongmei, & Zhang, Gao, & Hu, Xiaowen, & Wu, Lawrence, & Feng, Yi, & He, Sidan, & Zhang, Youyou, & Hu, Zhongyi, & Yang, Lu, & Tian, Tian, & Xu, Weiting, & Wei, Zhi, & Lu, Yiling, & Flaherty, Keith T., & Zhong, Xiaomin, & Mills, Gordon B., & Gimotty, Phyllis A., & Xu, Xiaowei, & Herlyn, Meenhard, & Zhang, Lin (2017). Oncogenic RAS regulates long non-coding RNA Orilnc1 in human cancer. Cancer Research, 77(14), 3745-3757.

Turki, Turki, & Wei, Zhi, & Wang, Jason T. L. (2017). Transfer Learning Approaches to Improve Drug Sensitivity Prediction in Multiple Myeloma Patients. IEEE Access, 5, 7381-7393.

Melo, E. O., & Cordeiro, D. M., & Pellegrino, R., & Wei, Zhi, & Daye, Z. J., & Nishimura, R. C., & Dode, M. A. N. (2017). Identification of molecular markers for oocyte competence in bovine cumulus cells. Animal Genetics, 48(1), 19-29.

Li , J, & Wei, Zhi, & Li , Y R, & Maggadottir, S M, & Chang, X, & Desai, A, & Hakonarson, H (2016). Understanding the genetic and epigenetic basis of common variable immunodeficiency disorder through omics approaches.. Biochimica et biophysica acta, 1860(11 Pt B), 2656-63.

Fukunaga-Kalabis, Mizuho, & Heppt, Markus V, & Wang, Joshua X, & Hristova, Denitsa M, & Wei, Zhi, & Irmler, Martin, & Berking, Carola, & Besch, Robert, & Beckers, Johannes, & Rauscher, Frank J, & others, (2016). MSX1 promotes melanoma progression via neural crest-like reprogramming. Journal of Dermatological Science, 84(1), e87.

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Shannan, B, & Watters, A, & Chen, Q, & Mollin, S, & Dörr, M, & Meggers, E, & Xu, X, & Gimotty, P A, & Perego, M, & Li , L, & Benci, J, & Krepler, C, & Brafford, P, & Zhang, J, & Wei, Zhi, & Zhang, G, & Liu, Q, & Yin, X, & Nathanson, K L, & Herlyn, M, & Vultur, A (2016). PIM kinases as therapeutic targets against advanced melanoma.. Oncotarget,

Li , J, & Wei, Zhi, & Chang, X, & Cardinale, C J, & Kim, C E, & Baldassano, R N, & Hakonarson, H (2016). Pathway-based Genome-wide Association Studies Reveal the Association Between Growth Factor Activity and Inflammatory Bowel Disease.. Inflammatory bowel diseases, 22(7), 1540-51.

Zhang, J, & Wei, Zhi (2016). An empirical Bayes change-point model for identifying 3' and 5' alternative splicing by next-generation RNA sequencing.. Bioinformatics (Oxford, England), 32(12), 1823-31.

Hristova, D, & Hua, X, & Wang, J, & Li, L, & Beqiri, M, & Watters, A, & Vultur, A, & Wei, Zhi, & Herlyn, M, & Fukunaga-Kalabis, M (2016). Numb is induced by GSK3 inhibition and inhibits melanoma migration, invasion and metastasis. Journal of Investigative Dermatology, 136(5), S117.

Zhang, G, & Frederick, D T, & Wu, L, & Wei, Zhi, & Krepler, C, & Srinivasan, S, & Chae, Y C, & Xu, X, & Choi, H, & Dimwamwa, E, & Ope, O, & Shannan, B, & Basu, D, & Zhang, D, & Guha, M, & Xiao, M, & Randell, S, & Sproesser, K, & Xu, Weiting, & Liu, J, & Karakousis, G C, & Schuchter, L M, & Gangadhar, T C, & Amaravadi, R K, & Gu, Mengnan, & Xu, C, & Ghosh, A, & Xu, W, & Tian, Tian, & Zhang, Jie, & Zha, S, & Liu, Q, & Brafford, P, & Weeraratna, A, & Davies, M A, & Wargo, J A, & Avadhani, N G, & Lu, Y, & Mills, G B, & Altieri, D C, & Flaherty, K T, & Herlyn, M (2016). Targeting mitochondrial biogenesis to overcome drug resistance to MAPK inhibitors.. The Journal of clinical investigation, 126(5), 1834-56.

Finkel, T H, & Li , J, & Wei, Zhi, & Wang, W, & Zhang, H, & Behrens, E M, & Reuschel, E L, & Limou, S, & Wise, C, & Punaro, M, & Becker, M L, & Munro, J E, & Flatø, B, & Førre, Ø, & Thompson, S D, & Langefeld, C D, & Glass, D N, & Glessner, J T, & Kim, C E, & Frackelton, E, & Shivers, D K, & Thomas, K A, & Chiavacci, R M, & Hou, C, & Xu, K, & Snyder, J, & Qiu, H, & Mentch, F, & Wang, K, & Winkler, C A, & Lie, B A, & Ellis, J A, & Hakonarson, H (2016). Variants in CXCR4 associate with juvenile idiopathic arthritis susceptibility.. BMC medical genetics, 17, 24.

Hew, K, & Miller, C, & El-Ashry, D, & Sun, J, & Besser, A, & Ince, T A, & Gu, M, & Wei, Zhi, & Zhang, G, & Brafford, P, & Guo, W, & Lu, Y, & Mills, G, & Slingerland, J, & Simpkins, F (2016). MAPK activation predicts poor outcome and the MEK inhibitor, selumetininb, reverses antiestrogen resistance in high grade serous ovarian cancer. Clinical Cancer Research, 22(4), 935-947.

Li , J, & Wei, Zhi, & Hakonarson, H (2016). Application of computational methods in genetic study of inflammatory bowel disease.. World journal of gastroenterology, 22(3), 949-60.

Guo, Y, & Wei, Zhi, & Keating, B J, & Hakonarson, H (2016). Machine learning derived risk prediction of anorexia nervosa.. BMC medical genomics, 9, 4.

Ji, Xiang, & Chun, Soon Ae, & Wei, Zhi, & Geller, James (2015). Twitter sentiment classification for measuring public health concerns. Social Network Analysis and Mining, 5(1), 1–25.

Chang, X, & Glessner, J, & Tin, A, & Li , J, & Guo, Y, & Wei, Zhi, & Liu, Y, & Mentch, F D, & Hou, C, & Zhao, Y, & Wang, T, & Qiu, H, & Kim, C, & Sleiman, P M, & Hakonarson, H (2015). Genome-wide association study reveals two loci for serum magnesium concentrations in European-American children.. Scientific reports, 5, 18792.

Gusareva, Elena S, & Wei, Zhi, & Traherne, James A, & Hugot, Jean-Pierre, & Cleynen, Isabelle, & Cho, Judy H, & Hakonarson, Hakon, & Van Steen, Kristel (2015). Epistasis associated to inflammatory bowel disease (IBD) in humans. GENETIC EPIDEMIOLOGY, 39(7), 554–555.

Banerjee, S, & Wei, Zhi, & Tan, F, & Peck, K N, & Shih, N, & Feldman, M, & Rebbeck, T R, & Alwine, J C, & Robertson, E S (2015). Distinct microbiological signatures associated with triple negative breast cancer. Scientific Reports, 5(15162),

Li , Y R, & Li , J, & Zhao, S D, & Bradfield, J P, & Mentch, F D, & Maggadottir, S M, & Hou, C, & Abrams, D J, & Chang, D, & Gao, F, & Guo, Y, & Wei, Zhi, & Connolly, J J, & Cardinale, C J, & Bakay, M, & Glessner, J T, & Li , D, & Kao, C, & Thomas, K A, & Qiu, H, & Chiavacci, R M, & Kim, C E, & Wang, F, & Snyder, J, & Richie, M D, & Flatø, B, & Førre, Ø, & Denson, L A, & Thompson, S D, & Becker, M L, & Guthery, S L, & Latiano, A, & Perez, E, & Resnick, E, & Russell, R K, & Wilson, D C, & Silverberg, M S, & Annese, V, & Lie, B A, & Punaro, M, & Dubinsky, M C, & Monos, D S, & Strisciuglio, C, & Staiano, A, & Miele, E, & Kugathasan, S, & Ellis, J A, & Munro, J E, & Sullivan, K E, & Wise, C A, & Chapel, H, & Cunningham-Rundles, C, & Grant, S F, & Orange, J S, & Sleiman, P M, & Behrens, E M, & Griffiths, A M, & Satsangi, J, & Finkel, T H, & Keinan, A, & Prak, E T, & Polychronakos, C, & Baldassano, R N, & Li , H, & Keating, B J, & Hakonarson, H (2015). Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases.. Nature medicine, 21(9), 1018-27.

Dajani, R, & Li, , & Wei, Zhi, & Glessner, J, & Chang, X, & Cardinale, C, & Pellegrino, R, & Wang, T, & Hakooz, N, & Khader, Y, & Sheshani, A, & Zandaki, D, & Hakonarson, H (2015). CNV Analysis Associates AKNAD1 with Type-2 Diabetes in Jordan Subpopulations. Scientific Reports, 5, 13391.

Li, J, & Fung, I, & Glessner, J, & Pandey, P, & Wei, Zhi, & Bakay, m, & Mentch, F, & Pellegrino, R, & Wang, T, & Kim, C E, & Hou, c, & Wang, F, & Chiavacci, Rosetta M, & Thomas, K A, & Spergel, J M, & Hakonarson, H, & Sleiman, P MA (2015). Copy Number Variations in CTNNA3 and RBFOX1 Associate with Pediatric Food Allergy. The Journal of Immunology, 195(4), 1599-1607.

Liu, S, & Tetzlaff, M, & Yang, R, & Xie, L, & Zhang, G, & Krepler, C, & Xiao, M, & Beqiri, M, & Xu, W, & Karakousis, G, & Schuchter, L, & Amaravadi, R, & Xu, Weiting, & Wei, Zhi, & Yao, Y, & Zhang, L, & Wang, Y, & Zhang, L, & Xu, X (2015). miR‐200c/Bmi1 Axis and Epithelial‐Mesenchymal Transition Contribute to Acquired Resistance to BRAF Inhibitor Treatment. Pigment Cell & Melanoma Research, 28(4), 431–441.

Wen, S, & Wei, Zhi (2015). Hierarchical recognition of sparse patterns in large-scale simultaneous inference. Biometrika , 102(2), 267-280.

Fukunaga-Kalabis, M, & Hristova, D, & Wang, J, & Li, L, & Heppt, M, & Wei, Zhi, & Gyurdieva, A, & Webster, M R, & Weeraratna, A T, & Herlyn, M (2015). UV-Induced Wnt7a in the Human Skin Microenvironment Specifies the Fate of Neural Crest–Like Cells via Suppression of Notch. Journal of Investigative Dermatology, 135, 1521–1532.

Ochs, Christopher, & Geller, James, & Perl, Yehoshua, & Chen, Yan, & Xu, Julia, & Min, Hua, & Case, James T, & Wei, Zhi (2015). Scalable quality assurance for large SNOMED CT hierarchies using subject-based subtaxonomies. J American Medical Informatics Association, 22(3), 507-518.

Chang, X, & Li, J, & Guo, Y, & Wei, Zhi, & Mentch, F, & Hou, C, & Zhao, Y, & Qiu, H, & Kim, C, & Sleiman, P, & Hakonarson, H (2015). Genome-Wide Association Study of Serum Minerals Levels in Children of Different Ethnic Background. PLOS ONE, 10(4), e0123499.

Maggadottir, Haitao, & Li, J, & Glessner, J, & Li, Y, & Wei, Zhi, & Chang, X, & Mentch, F, & Thomas, K A, & Kim, C E, & Zhao, Y, & Hou, C, & Wang, F, & Jørgensen, S F, & Perez, E E, & Sullivan, K E, & Orange, J S, & Karlsen, T H, & Chapel, H, & Cunningham-Rundles, C C, & Hakonarson, H (2015). Rare variants at 16p11. 2 are associated with common variable immunodeficiency. Journal of Allergy and Clinical Immunology, 135(6), 1569–1577.

Hu, Haitao, & Eller, M, & Zafar, S, & Zhou, Y, & Gu, Mengnan, & Wei, Zhi, & R, J, & Marovich, M A, & Kibuuka, H N, & Bailer, R T, & Koup, R A, & Robb, M L, & Michael, N L, & Kim, J H, & Ratto-Kim, S (2014). Preferential infection of human Ad5-specific CD4 T cells by HIV in Ad5 naturally exposed and recombinant Ad5-HIV vaccinated individuals. Proceedings of the National Academy of Sciences, 111(37), 13439-13444.

Wei, Zhi (2014). Genetic determinants of common epilepsies: a meta-analysis of genome-wide association studies. Lancet, 13(9), 893 - 903.

Wang, Wei, & Wei, Zhi, & Li, Hongzhe (2014). A change-point model for identifying 3'UTR switching by next-generation RNA sequencing. Bioinformatics, 30(15), 2162-2170.

Wang, Wei, & Wei, Zhi (2014). Collapsing singletons may boost signal for associating rare variants in sequencing study. BMC Proceedings, 8, S50.

Shi, L, & Zhang, Z, & Yu, A M, & Wang, Wei, & Wei, Zhi, & Akhter, E, & Maurer, K, & Reis, P Costa, & Song, L, & Petri, M, & Sullivan, K E (2014). The SLE Transcriptome Exhibits Evidence of Chronic Endotoxin Exposure and Has Widespread Dysregulation of Non-Coding and Coding RNAs. PLOS ONE, 9(5), e93846.

Cardinale, C, & Wei, Zhi, & Li, J, & Zhu, Junfei, & Gu, M, & Baldassano, R, & Grant, S, & Hakonarson, H (2014). Transcriptome Profiling of Human Ulcerative Colitis Mucosa Reveals Altered Expression of Pathways Enriched in Genetic Susceptibility Loci. PLOS ONE, 9(5), e96153.

Yang, Ruifeng , & Zheng, Ying, & Burrows, Michelle , & Liu, Shujing , & Wei, Zhi, & Nace, Arben , & Guo, Wei , & Kumar, Suresh , & Cotsarelis, George , & Xu, Xiaowei (2014). Generation of folliculogenic human epithelial stem cells from induced pluripotent stem cells. Nature Communications, 5,

Zhao, Zhigen, & Wang, Wei, & Wei, Zhi (2013). An empirical Bayes testing procedure for detecting variants in analysis of next generation sequencing data. Annals of Applied Statistics, 7(4), 2229-2248.

Cardinale, C, & Wei, Zhi, & Li, J, & Zhu, Junfei, & Baldassano, R, & Grant, S, & Hakonarson, H (2013). Expression of Transcripts in Ulcerative Colitis Biopsies and Genome-wide Association Study Loci Overlap Substantially in Pathway-based Analysis. Inflammatory Bowel Diseases, 19, S14.

Fish, S, & Wei, Zhi, & Bradfield, J, & Gupta, K, & Spengler, G, & Martin, A, & Judge, C, & Escajadillo, C, & Ghanem, L, & Hakonarson, H, & Baldassano, R, & Kelsen, J (2013). SLC11A1 Polymorphism Increases the Risk of Early Surgery in Pediatric Patients With Inflammatory Bowel Disease. Inflammatory Bowel Diseases, 19, S111-S112.

Zhang, Zhang, & Pinto, Anna Maria, & Wan, L, & Wang, Wei, & Berg, M G, & Oliva, Isabela , & Singh, Larry N, & Dengler, Christopher , & Wei, Zhi, & Dreyfuss, G (2013). Dysregulation of synaptogenesis genes antecedes motor neuron pathology in spinal muscular atrophy. Proceedings of the National Academy of Sciences, 110(48), 19348-19353.

Bitler, B G, & Fink, F S, & Wei, Zhi, & Peterson, J R, & Zhang, R (2013). A High-Content Screening Assay for Small-Molecule Modulators of Oncogene-Induced Senescence. Journal of biomolecular screening, 18(9), 1054-61.

Bruce, B A, & Li, J, & McDonough, J M, & Wei, Zhi, & Kim, C, & Chiavacci, R, & Mentch, F, & Caboot, J B, & Spergel, J, & Allen, J L, & Sleiman, P MA, & Hakonarson, H (2013). Gene Network Analysis in a Pediatric Cohort Identifies Novel Lung Function Genes. PLOS ONE, 8(9), e72899.

Cardinale, C J, & Wei, Zhi, & Panossian, S, & Wang, F, & Kim, C E, & Mentch, F D, & Chiavacci, R M, & Kachelries, K E, & Pandey, R, & Grant, S FA, & Baldassano, R N, & Hakonarson, H (2013). Targeted resequencing identifies defective variants of decoy receptor 3 in pediatric-onset inflammatory bowel disease. Genes and immunity, 14, 447–452.

Younis, I, & Dittmar, K, & Wang, Wei, & Foley, S W, & Berg, M G, & Hu, K Y, & Wei, Zhi, & Wan, L, & Dreyfuss, G (2013). Minor introns are embedded molecular switches regulated by highly unstable U6atac snRNA. eLife, 2, e00780.

Wei, Zhi, & Wang, Wei, & Bradfield, J P, & Li, J, & Cardinale, C, & Frackelton, E, & Kim, C, & Mentch, F D, & Van Steen, K, & Visscher, P M, & Baldassano, R N, & Hakonarson, H (2013). Large Sample Size, Wide Variant Spectrum, and Advanced Machine-Learning Technique Boost Risk Prediction for Inflammatory Bowel Disease. The American Journal of Human Genetics, 92(6), 1008–1012.

Aird, K M, & Zhang, G, & Li, H, & Tu, Z, & Bilter, B G, & Garipov, A, & Wu, H, & Wei, Zhi, & Wagner, S N, & Herlyn, M, & Zhang, R (2013). Suppression of Nucleotide Metabolism Underlies the Establishment and Maintenance of Oncogene-Induced Senescence. Cell reports, 3(4), 1252–1265.

Li, J, & Glessner, J T, & Zhang, H, & Hou, Cuiping, & Wei, Zhi, & Bradfield, J P, & Mentch, F D, & Guo, Y, & Kim, C, & Xia, Q, & Chiavacci, R M, & Thomas, K A, & Qiu, H, & Grant, S FA, & Furth, S L, & Hakonarson, H, & Sleiman, P MA (2013). GWAS of blood cell traits identifies novel associated loci and epistatic interactions in Caucasian and African-American children. Human molecular genetics, 22(7), 1457-1464.

O'Rawe, J, & Jiang, T, & Sun, G, & Wu, Y, & Wang, Wei, & Bodily, P, & Tian, L, & Hakonarson, H, & Johnson, W E, & Wei, Zhi, & Wang, K, & Lyon, G (2013). Low concordance of multiple variant-calling pipelines: practical implications for exome and genome sequencing. Genome Medicine, 5(3), Article 28.

Hu, H, & Nau, M, & Ehrenberg, P, & Chenine, A, & Macedo, C, & Zhou, Y, & Daye, Z, & Wei, Zhi, & Vahey, M, & Michael, N, & Kim, J, & Marovich, M, & Ratto-Kim, S (2013). Distinct gene-expression profiles associated with the susceptibility of pathogen-specific CD4 T cells to HIV-1 infection. Blood, 121(7), 1136-1144.

Wang, Wei, & Hu, Weicheng, & Hou, Fang, & Hu, Pingzhao, & Wei, Zhi (2012). SNVerGUI: a desktop tool for variant analysis of next-generation sequencing data. Journal of Medical Genetics, 49(12), 753-755.

Jostins, J, & Ripke, S K, & Duerr, R H, & McGovern, D P, & Hui, Ken Y, & Lee, J C, & Schumm, P, & Sharma, Y, & Anderson, C A, & Essers, J, & Mitrovic, M, & Ning, K, & Cleynen, I, & Theatre, E, & Spain, S L, & Raychaudhuri, S, & Goyette, P, & Wei, Zhi, & Abraham, C, & Achkar, J, & Ahmad, T, & Amininejad, L, & Ananthakrishnan, A N, & Andersen, V, & Andrews, J M, & Baidoo, L, & Balschun, T, & Bampton, P A, & Bitton, A, & Boucher, G, & Brand, S, & Büning, C, & Cohain, A, & Cichon, S, & D’Amato, M, & De Jong, D, & Devaney, K L, & Dubinsky, M, & Edwards, C, & Ellinghaus, D, & Ferguson, l R, & Franchimont, D, & Fransen, K, & Gearry, R, & Georges, M, & Gieger, C, & Glas, J, & Haritunians, T, & Hart, A, & Hawkey, C, & Hedl, M, & Hu, X, & Karlsen, T H, & Kupcinskas, L, & Kugathasan, S, & Latiano, A, & Laukens, D, & Lawrance, I C, & Lees, C W, & Louis, E, & Mahy, G, & Mansfield, J, & Morgan, A R, & Mowat, C, & Newman, W, & Palmieri, O, & Ponsioen, C, & Potocnik, U, & Prescott, N J, & Regueiro, M, & Rotter, J I, & Russell, R K, & Sanderson, J D, & Sans, M, & Satsangi, J, & Schreiber, S, & Simms, L A, & Sventoraityte, J, & Targan, S T, & Taylor, K D, & Tremelling, M M, & Verspaget, H W, & De Vos, M, & Wijmenga, C, & Wilson, D C, & Winkelmann, J, & Xavier, R J, & Zeissig, S, & Zhang, B, & Zhang, C K, & Zhao, H, & Silverberg, M S, & Annese, V, & Hakonarson, H, & Brant, S R, & Radford-Smith, G, & Mathew, C G, & Rioux, J D, & Schadt, E E, & Daly, M J, & Franke, A, & Parkes, M, & Vermeire, S, & Barrett, J C, & Cho, J H (2012). Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease. Nature, 491(7422), 119-124.

Pellegrino, Renata , & Sunaga, Daniele Y. , & Guindalini, Camila , & Martins, Raquel C. S. , & Mazzotti, Diego Robles, & Wei, Zhi, & Daye, Z. John , & Andersen, Monica Levy , & Tufik, Sergio (2012). Whole-blood genome-wide gene expression profile in males after prolonged wakefulness and sleep recovery. Physiological Genomics, 44(21), 1003-1012.

Hu, H, & Nau, M, & Ehrenberg, P, & Chenine, A, & Daye, Z, & Wei, Zhi, & Michael, N, & Vahey, M, & Kim, J, & Marovich, M, & Ratto-Kim, S (2012). Distinct gene expression profiles associated with the susceptibility of pathogen-specific CD4+ T cells to HIV-1 infection. Retrovirology, 9(s2), O46.

Ge, Yingbin , & Azuma, Rikka , & Gekonge, Bethsebah , & Lopez-Coral, Alfonso , & Xiao, Min , & Zhang, Gao , & Xu, Xiaowei , & Montaner, Luis J. , & Wei, Zhi, & Herlyn, Meenhard , & Wang, Tao , & Kaufman, Russel E. (2012). Induction of metallothionein expression during monocyte to melanoma-associated macrophage differentiation. Frontiers in Biology, 7(4), 359–367.

Wei, Zhi, & Wang, Tao , & Ge, Yingbin , & Xiao, Min , & Lopez-Coral, Alfonso, & Azuma, Rikka , & Somasundaram, Rajasekharan , & Zhang, Gao, & Xu, Xiaowei , & Rauscher III, Frank J. , & Herlyn, Meenhard , & Kaufman, Russel E. (2012). Melanoma‐Derived Conditioned Media Efficiently Induce the Differentiation of Monocytes to Macrophages that Display a Highly Invasive Gene Signature. Pigment Cell & Melanoma Research, 25(4), 493–505.

Daye, Z. John , & Li, Hongzhe, & Wei, Zhi (2012). A powerful test for multiple rare variants association studies that incorporates sequencing qualities . Nucleic Acids Research, 40(8),

Wei, Zhi, & Wang, Wei, & Hu, Pingzhao, & Lyon, Gholson J., & Hakonarson, Hakon (2011). SNVer: a statistical tool for variant calling in analysis of pooled or individual next-generation sequencing data. Nucleic Acids Research, 39(19),

Wang, Weixin, & Wei, Zhi, & Lam, Tak-Wah, & Wang, Junwen (2011). Next generation sequencing has lower sequence coverage and poorer SNP-detection capability in the regulatory regions. Scientific Reports, 1,

Lyon, Gholson J, & Jiang, Tao, & Wijk, Richard Van, & Bodily, Paul Mark, & Xing, Jinchuan, & Tian, Lifeng, & Robison, Redi J, & Clement, Mark, & Yang, Lin, & Zhang, Peng, & Liu, Ying, & Moore, Barry, & Glessner, Joseph T, & Elia, Josephine, & Reimherr, Fred, & van Solinge, Wouter W., & Yankell, Mark, & Hakonarson, Hakon, & Wang, Jun, & Johnson, William Evan, & Wei, Zhi, & Wang, Kai (2011). Exome Sequencing and Unrelated Findings in the Context of Complex Disease Research: Ethical and Clinical Implications. Discovery Medicine, 12(62),

Sun, Wenguang, & Wei, Zhi (2011). Multiple Testing for Pattern Identification, with Applications to Microarray Time Course Experiments. Journal of the American Statistical Association, 106(493), 73–88.

Roshan, Usman W., & Chikkagoudar, Satishc, & Wei, Zhi, & Wang, Kai, & Hakonarson, Hakon (2011). Ranking causal variants and associated regions in genome-wide association studies by the support vector machine and random forest . Nucleic Acids Research,

Wang, Wei, & Wei, Zhi, & Sun, Wenguang (2010). Simultaneous set-wise testing under dependence, with applications to genome-wide association studies. Statistics and Its Interface, 3(4), 501-512.

Chikkagoudar, Satish, & Wei, Zhi, & Roshan, Usman W. (2010). PLAST-ncRNA: Partition function Local Alignment Search Tool for non-coding RNA sequences. Nucleic Acids Research, 38(Suppl 2), W59-W63.

Li, Hongzhe, & Wei, Zhi, & Maris, John (2010). A Hidden Markov Random Field Model for Genome-wide Association Studies. Biostatistics, 11(1), 139-150.

Li, Caiyan, & Wei, Zhi, & Li, Hongzhe (2010). Network-based Empirical Bayes Methods for Linear Models with Applications to Genomic Data. Journal of Biopharmaceutical Statistics, 20(2), 209-222 .

Wei, Zhi, & Sun, Wenguang, & Wang, Kai, & Hakonarson, Hakon (2009). Multiple Testing in Genome-Wide Association Studies via Hidden Markov Models. Bioinformatics, 25(21), 2802-2808.

Wei, Zhi, & Wang, Kai, & Qu, Hui-Qi , & Zhang, Haitao , & Bradfield, Jonathan , & Kim, Cecilia , & Frackleton, Edward , & Hou, Cuiping , & Glessner, Joseph T. , & Chiavacci, Rosetta , & Stanley, Charles , & Monos, Dimitri , & Grant, Struan F. A., & Polychronakos, Constantin , & Hakonarson, Hakon (2009). From Disease Association to Risk Assessment: An Optimistic View from Genome-Wide Association Studies on Type 1 Diabetes. PLoS Genetics, 10(5), e1000678.

Wei, Zhi, & Li, Mingyao, & Rebbeck, Timothy, & Li, Hongzhe (2008). U-Statistics-based Tests for Multiple Genes in Genetic Association Studies. Annals of Human Genetics/Blackwell Publishing Ltd/University College London, 72(6), 821-833.

Wei, Zhi, & Li, Hongzhe (2008). A Hidden Spatial-Temporal Markov Random Field Model For Network-Based Analysis Of Time Course Gene Expression Data. Annals of Applied Statistics, 2(1), 408-429.

Wei, Zhi, & Li, Mingyao (2007). Genome-wide Association Analysis of Rheumatoid Arthritis in a Canadian Population. BMC Proceedings , 1(S1), S19.

Wei, Zhi, & Li, Hongzhe (2007). A Markov Random Field Model for Network-based Analysis of Genomic Data. Bioinformatics, 23(12), 1537-1544.

Wei, Zhi, & Li, Hongzhe (2007). Nonparametric Pathway-Based Regression Models for Analysis of Genomic Data. Biostatistics, 8(2), 265-284.

Wei, Zhi, & Jensen, Shane T (2006). A Markov Random Field Model for Network-based Analysis of Genomic Data. Bioinformatics, 22(13), 1577-1584.

User Profiling and Behavior Evaluation Based on Improved Logistics Algorithm
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DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature
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Success Prediction on Crowdfunding with Multimodal Deep Learning
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American Association for Cancer Research 107th Annual Meeting 2016, July (3rd Quarter/Summer) 2016

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