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Jing Wang
Jing Wang
Principal Research Scientist, AbbVie
在 abbvie.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
25962019
LinkedOmics: analyzing multi-omics data within and across 32 cancer types
SV Vasaikar, P Straub, J Wang, B Zhang
Nucleic Acids Research, 2017
17662017
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
17492013
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
15822016
Proteogenomic characterization of human colon and rectal cancer
B Zhang, J Wang, X Wang, J Zhu, Q Liu, Z Shi, MC Chambers, ...
Nature, 2014
14212014
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
10482017
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
9312016
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
1782015
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
1712007
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
1602017
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
1452016
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
1422009
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
1162015
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
852012
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
732013
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
712017
NetGestalt: integrating multidimensional omics data over biological networks
Z Shi, J Wang, B Zhang
Nature methods 10 (7), 597-598, 2013
662013
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
642008
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
552015
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
532010
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