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curatedPCaData: Integration of clinical, genomic, and signature features in a curated and harmonized prostate cancer data resource

2023-01-19

Abstract excerpt

<h4>ABSTRACT</h4> Genomic and transcriptomic data have been generated across a wide range of prostate cancer (PCa) study cohorts. These data can be used to better characterize the molecular features associated with clinical outcomes and to test hypotheses across multiple, independent patient cohorts. In addition, derived features, such as estimates of cell composition, risk scores, and androgen receptor (AR) scor...

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Literature Corpus work
4d8c5b9d-c2a3-5914-a84c-8f78f8e01bbd
DOI
10.1101/2023.01.17.524403
Open publication

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curatedPCaData: Integration of clinical, genomic, and signature features in a curated and harmonized prostate cancer data resourceDOI 10.1101/2023.01.17.524403
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