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Article

Genome-wide identification and analysis of prognostic features in human cancers

2021-06-01

Abstract excerpt

Clinical decisions in cancer rely on precisely assessing patient risk. To improve our ability to accurately identify the most aggressive malignancies, we constructed genome-wide survival models using gene expression, copy number, methylation, and mutation data from 10,884 patients with known clinical outcomes. We identified more than 100,000 significant prognostic biomarkers and demonstrate that these genomic feat...

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Literature Corpus work
03353d65-2988-5151-b43a-c8fbd18055b4
DOI
10.1101/2021.06.01.446243
Open publication

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Genome-wide identification and analysis of prognostic features in human cancersDOI 10.1101/2021.06.01.446243
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