LOGOS: a modular Bayesian model for de novo motif detection. - Eric P. Xing; Wei Wu 023; Michael I. Jordan; Richard M. Karp (CSB, 2003)

Logos: a Modular Bayesian Model for de Novo Motif Detection. - Eric P. Xing; Wei Wu 023; Michael I. Jordan; Richard M. Karp (J. Bioinform. Comput. Biol., 2004)

Comparison of normalization methods for CodeLink Bioarray data. - Wei Wu 023; Nilesh Dave; George C. Tseng; Thomas Richards; Eric P. Xing; Naftali Kaminski (BMC Bioinform., 2005)

Evaluation of normalization methods for cDNA microarray data by k-NN classification. - Wei Wu 023; Eric P. Xing; Connie Myers; I. Saira Mian; Mina J. Bissell (BMC Bioinform., 2005)

GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data. - Yanxin Shi; Fan Guo 006; Wei Wu 023; Eric P. Xing (RECOMB, 2007)

TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages. - Ankur P. Parikh; Wei Wu 023; Ross E. Curtis; Eric P. Xing (Bioinform., 2011)

Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity. - Ankur P. Parikh; Wei Wu 023; Eric P. Xing (Pacific Symposium on Biocomputing, 2014)

Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm. - Ankur P. Parikh; Ross E. Curtis; Irene Kuhn; Sabine Becker-Weimann; Mina J. Bissell; Eric P. Xing; Wei Wu 023 (PLoS Comput. Biol., 2014)

Naïve Bayes ensemble: A new approach to classifying unlabeled multi-class asthma subjects. - Seo-Jin Bang; Wei Wu 023 (BIBM, 2016)

Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. - Pengtao Xie; Wei Wu 023; Yichen Zhu; Eric P. Xing (ICML, 2018)

Multiple Kernel k-means Clustering using Min-Max Optimization with l2 Regularization. - Seo-Jin Bang; Wei Wu 023 (CoRR, 2018)

Graph-structured Sparse Mixed Models for Genetic Association with Confounding Factors Correction. - Haohan Wang; Changpeng Lu; Wei Wu 023; Eric P. Xing (BIBM, 2019)

Deep Inductive Matrix Completion for Biomedical Interaction Prediction. - Haohan Wang; Yibing Wei; Mengxin Cao; Ming Xu 008; Wei Wu 023; Eric P. Xing (BIBM, 2019)

Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies. - Haohan Wang; Tianwei Yue; Jingkang Yang; Wei Wu 023; Eric P. Xing (BMC Bioinform., 2019)

Explaining a black-box using Deep Variational Information Bottleneck Approach. - Seo-Jin Bang; Pengtao Xie; Wei Wu 023; Eric P. Xing (CoRR, 2019)

Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach. - Seo-Jin Bang; Pengtao Xie; Heewook Lee; Wei Wu 023; Eric P. Xing (AAAI, 2021)

Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets. - Haohan Wang; Fen Pei; Michael M. Vanyukov; Ivet Bahar; Wei Wu 023; Eric P. Xing (BMC Bioinform., 2021)

Gene Set Priorization Guided by Regulatory Networks with p-values through Kernel Mixed Model. - Haohan Wang; Oscar L. Lopez; Wei Wu 023; Eric P. Xing (RECOMB, 2022)

Kernel Mixed Model for Transcriptome Association Study. - Haohan Wang; Oscar Lopez; Eric P. Xing; Wei Wu 023 (J. Comput. Biol., 2022)