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Integrated transcriptomic, machine-learning and structural analyses prioritize NR3C1 for experimental follow-up in colorectal cancer

2026-08-10

Abstract excerpt

<title>Abstract</title> <p>Objectives To construct a resveratrol-associated colorectal cancer (CRC) candidate space, distinguish tissue-discrimination features from candidates for mechanistic follow-up, and audit the stability of supervised feature selection. Methods Predicted resveratrol targets were intersected with a 2,025-gene CRC disease-associated union derived from differential expression and WGCNA. A gl...

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Literature Corpus work
50d26376-2c1e-51dd-a123-d28e03bbd896
DOI
10.21203/rs.3.rs-10346574/v1
Open publication

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Integrated transcriptomic, machine-learning and structural analyses prioritize NR3C1 for experimental follow-up in colorectal cancerDOI 10.21203/rs.3.rs-10346574/v1
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