Xing-Ming Zhao
Cited by
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Inferring gene regulatory networks from gene expression data by PC-algorithm based on conditional mutual information
X Zhang, XM Zhao, K He, L Lu, Y Cao, J Liu, JK Hao, ZP Liu, L Chen
Bioinformatics, 2011
APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility
JF Xia, XM Zhao, J Song, DS Huang
BMC bioinformatics 11 (1), 1-14, 2010
Prediction of drug combinations by integrating molecular and pharmacological data
XM Zhao, M Iskar, G Zeller, M Kuhn, V Van Noort, P Bork
PLoS computational biology 7 (12), e1002323, 2011
Protein classification with imbalanced data
XM Zhao, X Li, L Chen, K Aihara
Proteins: Structure, Function, and Bioinformatics 70 (4), 1125-1132, 2008
OGEE v2: an update of the online gene essentiality database with special focus on differentially essential genes in human cancer cell lines
WH Chen, G Lu, X Chen, XM Zhao, P Bork
Nucleic acids research, gkw1013, 2016
Uncovering signal transduction networks from high-throughput data by integer linear programming
XM Zhao, RS Wang, L Chen, K Aihara
Nucleic acids research 36 (9), e48-e48, 2008
NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference
X Zhang, K Liu, ZP Liu, B Duval, JM Richer, XM Zhao, JK Hao, L Chen
Bioinformatics 29 (1), 106-113, 2013
Identifying dysregulated pathways in cancers from pathway interaction networks
KQ Liu, ZP Liu, JK Hao, L Chen, XM Zhao
BMC bioinformatics 13 (1), 1-11, 2012
Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks
X Zhang, J Zhao, JK Hao, XM Zhao, L Chen
Nucleic acids research 43 (5), e31-e31, 2015
Drug discovery in the age of systems biology: the rise of computational approaches for data integration
M Iskar, G Zeller, XM Zhao, V van Noort, P Bork
Current Opinion in Biotechnology, 2011
Gene function prediction using labeled and unlabeled data
XM Zhao, Y Wang, L Chen, K Aihara
BMC bioinformatics 9 (1), 1-14, 2008
Identifying disease genes and module biomarkers by differential interactions
X Liu, ZP Liu, XM Zhao, L Chen
Journal of the American Medical Informatics Association 19 (2), 241-248, 2012
DeepPhos: prediction of protein phosphorylation sites with deep learning
F Luo, M Wang, Y Liu, XM Zhao, A Li
Bioinformatics 35 (16), 2766-2773, 2019
Global gene profiling of laser-captured pollen mother cells indicates molecular pathways and gene subfamilies involved in rice meiosis
X Tang, ZY Zhang, WJ Zhang, XM Zhao, X Li, D Zhang, QQ Liu, WH Tang
Plant physiology 154 (4), 1855-1870, 2010
Victors: a web-based knowledge base of virulence factors in human and animal pathogens
S Sayers, L Li, E Ong, S Deng, G Fu, Y Lin, B Yang, S Zhang, Z Fa, ...
Nucleic acids research 47 (D1), D693-D700, 2019
Predicting protein–protein interactions from protein sequences using meta predictor
JF Xia, XM Zhao, DS Huang
Amino acids 39 (5), 1595-1599, 2010
Identifying cancer-related microRNAs based on gene expression data
XM Zhao, KQ Liu, G Zhu, F He, B Duval, JM Richer, DS Huang, CJ Jiang, ...
Bioinformatics 31 (8), 1226-1234, 2015
PPIM: a protein-protein interaction database for maize
G Zhu, A Wu, XJ Xu, PP Xiao, L Lu, J Liu, Y Cao, L Chen, J Wu, XM Zhao
Plant physiology 170 (2), 618-626, 2016
A systems biology approach to identify effective cocktail drugs
Z Wu, XM Zhao, L Chen
BMC systems biology 4 (Suppl 2), S7, 2010
Classifying protein sequences using hydropathy blocks
DS Huang, XM Zhao, GB Huang, YM Cheung
Pattern recognition 39 (12), 2293-2300, 2006
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