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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2016
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| Materias: | |
| 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 |