Differential analysis of high-throughput quantitative genetic interaction data.

TitleDifferential analysis of high-throughput quantitative genetic interaction data.
Publication TypeJournal Article
Year of Publication2012
AuthorsBean GJ, Ideker T
JournalGenome Biol
Date Published2012 Dec 26

Synthetic genetic arrays have been very effective at measuring genetic interactions in yeast in a high-throughput manner and recently have been expanded to measure quantitative changes in interaction, termed 'differential interactions', across multiple conditions. Here, we present a strategy that leverages statistical information from the experimental design to produce a novel, quantitative differential interaction score, which performs favorably compared to previous differential scores. We also discuss the added utility of differential genetic-similarity in differential network analysis. Our approach is preferred for differential network analysis, and our implementation, written in MATLAB, can be found at http://chianti.ucsd.edu/~gbean/compute_differential_scores.m.

PubMed URLhttp://www.ncbi.nlm.nih.gov/pubmed/23268787?dopt=Abstract
Alternate JournalGenome Biol.
PubMed ID23268787