Towards accurate imputation of quantitative genetic interactions

Igor Ulitsky, Nevan J. Krogan, Ron Shamir

Research output: Contribution to journalArticlepeer-review

Abstract

Recent technological breakthroughs have enabled high-throughput quantitative measurements of hundreds of thousands of genetic interactions among hundreds of genes in Saccharomyces cerevisiae. However, these assays often fail to measure the genetic interactions among up to 40% of the studied gene pairs. Here we present a novel method, which combines genetic interaction data together with diverse genomic data, to quantitatively impute these missing interactions. We also present data on almost 190,000 novel interactions.

Original languageEnglish
Article numberR140
JournalGenome Biology
Volume10
Issue number12
DOIs
StatePublished - 10 Dec 2009

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