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A deep profile of gene expression across 18 human cancers

2024-03-17

Abstract excerpt

Clinically and biologically valuable information may reside untapped in large cancer gene expression data sets. Deep unsupervised learning has the potential to extract this information with unprecedented efficacy but has thus far been hampered by a lack of biological interpretability and robustness. Here, we present DeepProfile, a comprehensive framework that addresses current challenges in applying unsupervised d...

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Identifiers and source

Literature Corpus work
2196b8d6-a476-5ab7-8a72-eca0566d2964
DOI
10.1101/2024.03.17.585426
Open publication

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A deep profile of gene expression across 18 human cancersDOI 10.1101/2024.03.17.585426
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