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Proceedings of the National Academy of Sciences of the United States of America|February 20, 2004
Revealing modularity and organization in the yeast molecular network by integrated analysis of highly heterogeneous genomewide dataAmos Tanay, Roded Sharan, Martin Kupiec, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 15, 2007
Bayesian haplotype inference via the Dirichlet processEric P Xing, Michael I Jordan, Roded Sharan
Bioinformatics (Oxford, England)|August 28, 2014
Experimental design schemes for learning Boolean network modelsNir Atias, Michal Gershenzon, Katia Labazin, et al.
Bioinformatics (Oxford, England)|June 17, 2016
An integer programming framework for inferring disease complexes from network dataArnon Mazza, Konrad Klockmeier, Erich Wanker, et al.
BMC Bioinformatics|November 18, 2017
ANAT 2.0: reconstructing functional protein subnetworksYomtov Almozlino, Nir Atias, Dana Silverbush, et al.
Plos Computational Biology|January 13, 2010
Network-free inference of knockout effects in yeastTal Peleg, Nir Yosef, Eytan Ruppin, et al.
Nucleic Acids Research|May 26, 2009
A complex-centric view of protein network evolutionNir Yosef, Martin Kupiec, Eytan Ruppin, et al.
Bioinformatics (Oxford, England)|January 5, 2008
NetworkBLAST: comparative analysis of protein networksMaxim Kalaev, Mike Smoot, Trey Ideker, et al.
Plos Computational Biology|June 5, 2023
A mutation-level covariate model for mutational signaturesItay Kahane, Mark D M Leiserson, Roded Sharan
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
INFERENCE OF PERSONALIZED DRUG TARGETS VIA NETWORK PROPAGATIONOrtal Shnaps, Eyal Perry, Dana Silverbush, et al.
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