Prioritizing functional modules mediating genetic perturbations and their phenotypic effects: a global strategy.
We have developed a global strategy based on the Bayesian network framework to prioritize the functional modules mediating genetic perturbations and their phenotypic effects among a set of overlapping candidate modules. We take lethality in Saccharomyces cerevisiae and human cancer as two examples to show the effectiveness of this approach. We discovered that lethality is more conserved at the module level than at the gene level and we identified several potentially 'new' cancer-related biological processes.
Wang
Li
L
Molecular and Computational Biology, Department of Biology Sciences, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089-2910, USA. wang7@usc.edu
Sun
Fengzhu
F
Chen
Ting
T
D001499:Bayes Theorem; D019295:Computational Biology / Q000379:methods*; D004260:DNA Repair; D005804:Genes, Lethal; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000235:genetics*; D012441:Saccharomyces cerevisiae / Q000235:genetics*