Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning

Clicks: 236
ID: 117971
2015
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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 …
Reference Key
j2015cellprediction Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wildenhain J;Spitzer M;Dolma S;Jarvik N;White R;Roy M;Griffiths E;Bellows DS;Wright GD;Tyers M;;
Journal cell systems
Year 2015
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/pubmed/27136353
Keywords
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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