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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Detalles Bibliográficos
Autores principales: Zelezniak, Aleksej, Vowinckel, Jakob, Capuano, Floriana, Messner, Christoph B., Demichev, Vadim, Polowsky, Nicole, Mülleder, Michael, Kamrad, Stephan, Klaus, Bernd, Keller, Markus A., Ralser, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167078/
https://www.ncbi.nlm.nih.gov/pubmed/30195436
http://dx.doi.org/10.1016/j.cels.2018.08.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167078/
https://www.ncbi.nlm.nih.gov/pubmed/30195436
http://dx.doi.org/10.1016/j.cels.2018.08.001

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