StanDep: Capturing transcriptomic variability improves context-specific metabolic models

Diverse algorithms can integrate transcriptomics with genome-scale metabolic models (GEMs) to build context-specific metabolic models. These algorithms require identification of a list of high confidence (core) reactions from transcriptomics, but parameters related to identification of core reaction...

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Detalles Bibliográficos
Autores principales: Joshi, Chintan J., Schinn, Song-Min, Richelle, Anne, Shamie, Isaac, O’Rourke, Eyleen J., Lewis, Nathan E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244210/
https://www.ncbi.nlm.nih.gov/pubmed/32396573
http://dx.doi.org/10.1371/journal.pcbi.1007764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244210/
https://www.ncbi.nlm.nih.gov/pubmed/32396573
http://dx.doi.org/10.1371/journal.pcbi.1007764

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