WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs Y Liao, J Wang, EJ Jaehnig, Z Shi, B Zhang Nucleic acids research, 2019 | 2596 | 2019 |
LinkedOmics: analyzing multi-omics data within and across 32 cancer types SV Vasaikar, P Straub, J Wang, B Zhang Nucleic Acids Research, 2017 | 1766 | 2017 |
WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013 J Wang, D Duncan, Z Shi, B Zhang Nucleic acids research 41 (W1), W77-W83, 2013 | 1749 | 2013 |
Proteogenomics connects somatic mutations to signalling in breast cancer P Mertins, DR Mani, KV Ruggles, MA Gillette, KR Clauser, P Wang, ... Nature 534 (7605), 55-62, 2016 | 1582 | 2016 |
Proteogenomic characterization of human colon and rectal cancer B Zhang, J Wang, X Wang, J Zhu, Q Liu, Z Shi, MC Chambers, ... Nature, 2014 | 1421 | 2014 |
WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit J Wang, S Vasaikar, Z Shi, M Greer, B Zhang Nucleic Acids Research, 2017 | 1048 | 2017 |
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer H Zhang, T Liu, Z Zhang, SH Payne, B Zhang, JE McDermott, JY Zhou, ... Cell, 2016 | 931 | 2016 |
Targeting SLC1A5‐mediated glutamine dependence in non‐small cell lung cancer M Hassanein, J Qian, MD Hoeksema, J Wang, M Jacobovitz, X Ji, ... International Journal of Cancer, 2015 | 178 | 2015 |
Edge-based scoring and searching method for identifying condition-responsive protein–protein interaction sub-network Z Guo, Y Li, X Gong, C Yao, W Ma, D Wang, Y Li, J Zhu, M Zhang, D Yang, ... Bioinformatics 23 (16), 2121-2128, 2007 | 171 | 2007 |
Methods, tools and current perspectives in proteogenomics KV Ruggles, K Krug, X Wang, KR Clauser, J Wang, SH Payne, D Fenyö, ... Molecular & Cellular Proteomics, mcp. 000024.2017, 2017 | 160 | 2017 |
Proteome profiling outperforms transcriptome profiling for co-expression based gene function prediction J Wang, Z Ma, SA Carr, P Mertins, H Zhang, Z Zhang, DW Chan, MJC Ellis, ... Molecular & Cellular Proteomics, mcp. M116. 060301, 2016 | 145 | 2016 |
Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes M Zhang, L Zhang, J Zou, C Yao, H Xiao, Q Liu, J Wang, D Wang, C Wang, ... Bioinformatics 25 (13), 1662-1668, 2009 | 142 | 2009 |
The RNA binding protein FXR1 is a new driver in the 3q26-29 amplicon and predicts poor prognosis in human cancers J Qian, M Hassanein, MD Hoeksema, BK Harris, Y Zou, H Chen, P Lu, ... Proceedings of the National Academy of Sciences 112 (11), 3469-3474, 2015 | 116 | 2015 |
GO-function: deriving biologically relevant functions from statistically significant functions J Wang, X Zhou, J Zhu, Y Gu, W Zhao, J Zou, Z Guo Briefings in bioinformatics 13 (2), 216-227, 2012 | 85 | 2012 |
Integrative genomics analysis identifies candidate drivers at 3q26-29 amplicon in squamous cell carcinoma of the lung J Wang, J Qian, MD Hoeksema, Y Zou, AV Espinosa, SMJ Rahman, ... Clinical Cancer Research 19 (20), 5580-5590, 2013 | 73 | 2013 |
Colorectal cancer cell line proteomes are representative of primary tumors and predict drug sensitivity J Wang, D Mouradov, X Wang, RN Jorissen, MC Chambers, ... Gastroenterology, 2017 | 71 | 2017 |
NetGestalt: integrating multidimensional omics data over biological networks Z Shi, J Wang, B Zhang Nature methods 10 (7), 597-598, 2013 | 66 | 2013 |
Gaining confidence in biological interpretation of the microarray data: the functional consistence of the significant GO categories D Yang, Y Li, H Xiao, Q Liu, M Zhang, J Zhu, W Ma, C Yao, J Wang, ... Bioinformatics 24 (2), 265-271, 2008 | 64 | 2008 |
Reproducibility of differential proteomic technologies in CPTAC fractionated xenografts DL Tabb, X Wang, SA Carr, KR Clauser, P Mertins, MC Chambers, ... Journal of proteome research, 2015 | 55 | 2015 |
Revealing and avoiding bias in semantic similarity scores for protein pairs J Wang, X Zhou, J Zhu, C Zhou, Z Guo BMC bioinformatics 11 (1), 290, 2010 | 53 | 2010 |