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Genome Biology|June 5, 2013
Machine learning and genome annotation: a match meant to be?Kevin Y Yip, Chao Cheng, Mark GersteinBioinformatics (Oxford, England)|November 19, 2008
Training set expansion: an approach to improving the reconstruction of biological networks from limited and uneven reliable interactionsKevin Y Yip, Mark GersteinGenome Biology|February 18, 2011
A statistical framework for modeling gene expression using chromatin features and application to modENCODE datasetsChao Cheng, Koon-Kiu Yan, Kevin Y Yip, et al.BMC Bioinformatics|August 7, 2009
Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levelsKevin Y Yip, Philip M Kim, Drew McDermott, et al.Nucleic Acids Research|September 20, 2011
Modeling the relative relationship of transcription factor binding and histone modifications to gene expression levels in mouse embryonic stem cellsChao Cheng, Mark GersteinPlos One|February 4, 2010
Improved reconstruction of in silico gene regulatory networks by integrating knockout and perturbation dataKevin Y Yip, Roger P Alexander, Koon-Kiu Yan, et al.Cell|November 2, 2010
Extensive in vivo metabolite-protein interactions revealed by large-scale systematic analysesXiyan Li, Tara A Gianoulis, Kevin Y Yip, et al.Bioinformatics (Oxford, England)|October 6, 2006
The tYNA platform for comparative interactomics: a web tool for managing, comparing and mining multiple networksKevin Y Yip, Haiyuan Yu, Philip M Kim, et al.BMC Genomics|September 16, 2009
The relationship between the evolution of microRNA targets and the length of their UTRsChao Cheng, Nitin Bhardwaj, Mark GersteinBioinformatics (Oxford, England)|November 1, 2011
TIP: a probabilistic method for identifying transcription factor target genes from ChIP-seq binding profilesChao Cheng, Renqiang Min, Mark GersteinPageof 182