Pan-cancer analysis of transcriptional metabolic dysregulation using The Cancer Genome Atlas

Understanding metabolic dysregulation in different disease settings is vital for the safe and effective incorporation of metabolism-targeted therapeutics in the clinic. Here, using transcriptomic data for 10,704 tumor and normal samples from The Cancer Genome Atlas, across 26 disease sites, we prese...

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Detalles Bibliográficos
Autores principales: Rosario, S. R., Long, M. D., Affronti, H. C., Rowsam, A. M., Eng, K. H., Smiraglia, D. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294258/
https://www.ncbi.nlm.nih.gov/pubmed/30552315
http://dx.doi.org/10.1038/s41467-018-07232-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294258/
https://www.ncbi.nlm.nih.gov/pubmed/30552315
http://dx.doi.org/10.1038/s41467-018-07232-8

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