Wei Wang

Wei Wang

Professor, Computer Science, University of California Los Angeles

Professor, Computational Medicine, University of California Los Angeles

UC Profile

Publications

  1. Vandana JJ, Zhu J, Giani AM, Zhang T, Lacko LA, Leng D, Taylor DL, Lee BN, Han Z, Jiao T, Huang Y, Zhao M, Liu X, Chong ACN, Xue D, Meng Z, Xiang JZ, Pan C, Wang W, Naji A, Evans T, Liu J, Collins FS, Liu C, Chen S. ChemPerturb-seq screen identifies a small molecule cocktail enhancing human beta cell survival after subcutaneous transplantation.. Cell stem cell, 2025.
  2. Yang L, Han Y, Zhang T, Dong X, Ge J, Roy A, Zhu J, Lu T, Jeya Vandana J, de Silva N, Robertson CC, Xiang JZ, Pan C, Sun Y, Que J, Evans T, Liu C, Wang W, Naji A, Parker SCJ, Schwartz RE, Chen S. Human vascularized macrophage-islet organoids to model immune-mediated pancreatic β cell pyroptosis upon viral infection.. Cell stem cell, 2024.
  3. Yan Y, Sankar BS, Mirza B, Ng DCM, Pelletier AR, Huang SD, Wang W, Watson K, Wang D, Ping P. Missing Values in Longitudinal Proteome Dynamics Studies: Making a Case for Data Multiple Imputation.. Journal of proteome research, 2024.
  4. Xiong Y, Guo M, Ruan L, Kong X, Tang C, Zhu Y, Wang W. Heterogeneous network embedding enabling accurate disease association predictions.. BMC medical genomics, 2019.
  5. LaPierre N, Egan R, Wang W, Wang Z. De novo Nanopore read quality improvement using deep learning.. BMC bioinformatics, 2019.
  6. Zhou G, Jiang JY, Ju CJ, Wang W. Prediction of microbial communities for urban metagenomics using neural network approach.. Human genomics, 2019.
  7. Wang W, Gao X. Deep learning in bioinformatics.. Methods (San Diego, Calif.), 2019.
  8. LaPierre N, Ju CJ, Zhou G, Wang W. MetaPheno: A critical evaluation of deep learning and machine learning in metagenome-based disease prediction.. Methods (San Diego, Calif.), 2019.
  9. Chung NC, Mirza B, Choi H, Wang J, Wang D, Ping P, Wang W. Unsupervised classification of multi-omics data during cardiac remodeling using deep learning.. Methods (San Diego, Calif.), 2019.
  10. Mirza B, Wang W, Wang J, Choi H, Chung NC, Ping P. Machine Learning and Integrative Analysis of Biomedical Big Data.. Genes, 2019.
  11. Cheng W, Shi Y, Zhang X, Wang W. Fast and robust group-wise eQTL mapping using sparse graphical models.. BMC bioinformatics, 2015.
  12. Huang S, Holt J, Kao CY, McMillan L, Wang W. A novel multi-alignment pipeline for high-throughput sequencing data.. Database : the journal of biological databases and curation, 2014.