Novel machine‐learning bioinformatics reveal distinct metabolic alterations for enhanced colorectal cancer diagnosis and monitoring

Novel machine‐learning bioinformatics reveal distinct metabolic alterations for enhanced colorectal cancer diagnosis and monitoring

Abstract Colorectal cancer (CRC) is the second leading cause of cancer‐related mortality in the United States when considering both men and women. Colonoscopy remains the gold standard for CRC diagnosis but is invasive, costly, and requires extensive bowel preparation and sedation. Recent advancemen...

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Bibliographic Details
Main Authors: Rui Xu, Hyein Jung, Fouad Choueiry, Shiqi Zhang, Rachel Pearlman, Heather Hampel, Ning Jin, Jieli Li, Jiangjiang Zhu
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:iMetaOmics
Subjects:
artificial neural network
colorectal cancer
metabolomics
multi‐omics
partial least squares discriminant analysis
transcriptomics
Online Access:https://doi.org/10.1002/imo2.70003
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