Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli

A significant obstacle in training predictive cell models is the lack of integrated data sources. We develop semi-supervised normalization pipelines and perform experimental characterization (growth, transcriptional, proteome) to create Ecomics, a consistent, quality-controlled multi-omics compendiu...

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Detalles Bibliográficos
Autores principales: Kim, Minseung, Rai, Navneet, Zorraquino, Violeta, Tagkopoulos, Ilias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5059772/
https://www.ncbi.nlm.nih.gov/pubmed/27713404
http://dx.doi.org/10.1038/ncomms13090

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5059772/
https://www.ncbi.nlm.nih.gov/pubmed/27713404
http://dx.doi.org/10.1038/ncomms13090

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