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Prediction of compound synergism from chemical-genetic interactions by machine learning
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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| Publicado no: | Cell Syst |
|---|---|
| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5998823/ https://ncbi.nlm.nih.gov/pubmed/27136353 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cels.2015.12.003 |
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