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Article

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

2018-04-20

Abstract excerpt

Understanding the levels of metabolic dysregulation in different disease settings is vital for the safe and effective incorporation of metabolism-targeted therapeutics in the clinic. Using transcriptomic data from 10,704 tumor and normal samples from The Cancer Genome Atlas, across 26 disease sites, we developed a novel bioinformatics pipeline that distinguishes tumor from normal tissues, based on differential gen...

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Literature Corpus work
3dabcca5-76fa-533d-9251-a690d66ac6c3
DOI
10.1101/295733
Open publication

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