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Machine Learning Predicts the Yeast Metabolome from the Quantitative Proteome of Kinase Knockouts
A challenge in solving the genotype-to-phenotype relationship is to predict a cell’s metabolome, believed to correlate poorly with gene expression. Using comparative quantitative proteomics, we found that differential protein expression in 97 Saccharomyces cerevisiae kinase deletion strains is non-r...
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| Veröffentlicht in: | Cell Syst |
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| Hauptverfasser: | , , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Cell Press
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6167078/ https://ncbi.nlm.nih.gov/pubmed/30195436 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cels.2018.08.001 |
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