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Science (New York, N.Y.)|October 18, 2003
A Bayesian networks approach for predicting protein-protein interactions from genomic dataRonald Jansen, Haiyuan Yu, Dov Greenbaum, et al.Science (New York, N.Y.)|August 11, 2007
Divergence of transcription factor binding sites across related yeast speciesAnthony R Borneman, Tara A Gianoulis, Zhengdong D Zhang, et al.Genetics|November 5, 2021
Differences in evolutionary accessibility determine which equally effective regulatory motif evolves to generate pulsesKun Xiong, Mark Gerstein, Joanna MaselGenome Research|January 10, 2002
Relating whole-genome expression data with protein-protein interactionsRonald Jansen, Dov Greenbaum, Mark GersteinNucleic Acids Research|December 5, 2016
Localized structural frustration for evaluating the impact of sequence variantsSushant Kumar, Declan Clarke, Mark GersteinBMC Bioinformatics|February 23, 2011
Tiling array data analysis: a multiscale approach using waveletsAlexander Karpikov, Joel Rozowsky, Mark GersteinBioinformatics (Oxford, England)|November 10, 2017
MOAT: efficient detection of highly mutated regions with the Mutations Overburdening Annotations ToolLucas Lochovsky, Jing Zhang, Mark GersteinGenome Research|October 9, 2002
Identification and analysis of over 2000 ribosomal protein pseudogenes in the human genomeZhaolei Zhang, Paul Harrison, Mark GersteinBMC Bioinformatics|February 4, 2010
Genome-wide sequence-based prediction of peripheral proteins using a novel semi-supervised learning techniqueNitin Bhardwaj, Mark Gerstein, Hui LuBMC Genomics|September 16, 2009
The relationship between the evolution of microRNA targets and the length of their UTRsChao Cheng, Nitin Bhardwaj, Mark GersteinPageof 84