Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning
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Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning

Wildenhain J;Spitzer M;Dolma S;Jarvik N;White R;Roy M;Griffiths E;Bellows DS;Wright GD;Tyers M;;
cell systems 2015 Vol. 1 pp. -
195
j2015cellprediction

Abstract

The structure of genetic interaction networks predicts that, analogous to synthetic lethal interactions between non-essential genes, combinations of compounds with latent activities may exhibit potent synergism. To test this hypothesis, we generated a chemical-genetic matrix of 195 diverse yeast del …

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National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine pmid:27136353 pmc5998823 doi:10.1016/j.cels.2015.12.003 jan wildenhain michaela spitzer mike tyers

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