Wei Wu

20 papers A* 2B 2Misc 1Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2022 B conf
Gene Set Priorization Guided by Regulatory Networks with p-values through Kernel Mixed Model.
RECOMB
Haohan Wang, Oscar L. Lopez, Wei Wu, Eric P. Xing
2022 J jnl
Kernel Mixed Model for Transcriptome Association Study.
J. Comput. Biol.
Haohan Wang, Oscar Lopez, Eric P. Xing, Wei Wu
2021 J jnl
Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets.
BMC Bioinform.
Haohan Wang, Fen Pei, Michael M. Vanyukov, Ivet Bahar, Wei Wu, Eric P. Xing
2021 A* conf
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach.
AAAI
Seo-Jin Bang, Pengtao Xie, Heewook Lee, Wei Wu, Eric P. Xing
2019 — conf
Deep Inductive Matrix Completion for Biomedical Interaction Prediction.
BIBM
Haohan Wang, Yibing Wei, Mengxin Cao, Ming Xu, Wei Wu, Eric P. Xing
2019 J jnl
Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies.
BMC Bioinform.
Haohan Wang, Tianwei Yue, Jingkang Yang, Wei Wu, Eric P. Xing
2019 J jnl
Explaining a black-box using Deep Variational Information Bottleneck Approach.
CoRR
Seo-Jin Bang, Pengtao Xie, Wei Wu, Eric P. Xing
2019 — conf
Graph-structured Sparse Mixed Models for Genetic Association with Confounding Factors Correction.
BIBM
Haohan Wang, Changpeng Lu, Wei Wu, Eric P. Xing
2018 J jnl
Multiple Kernel k-means Clustering using Min-Max Optimization with l
CoRR
Seo-Jin Bang, Wei Wu
2018 A* conf
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis.
ICML
Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing
2018 J jnl
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis.
CoRR
Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing
2016 — conf
Naïve Bayes ensemble: A new approach to classifying unlabeled multi-class asthma subjects.
BIBM
Seo-Jin Bang, Wei Wu
2014 J jnl
Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm.
PLoS Comput. Biol.
Ankur P. Parikh, Ross E. Curtis, Irene Kuhn, Sabine Becker-Weimann, Mina J. Bissell, Eric P. Xing, Wei Wu
2014 Misc conf
Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity.
Pacific Symposium on Biocomputing
Ankur P. Parikh, Wei Wu, Eric P. Xing
2011 J jnl
TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages.
Bioinform.
Ankur P. Parikh, Wei Wu, Ross E. Curtis, Eric P. Xing
2007 B conf
GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data.
RECOMB
Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing
2005 J jnl
Comparison of normalization methods for CodeLink Bioarray data.
BMC Bioinform.
Wei Wu, Nilesh Dave, George C. Tseng, Thomas Richards, Eric P. Xing, Naftali Kaminski
2005 J jnl
Evaluation of normalization methods for cDNA microarray data by
BMC Bioinform.
Wei Wu, Eric P. Xing, Connie Myers, I. Saira Mian, Mina J. Bissell
2004 J jnl
Logos: a Modular Bayesian Model for
J. Bioinform. Comput. Biol.
Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp
2003 — conf
LOGOS: a modular Bayesian model for de novo motif detection.
CSB
Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp