Identification of Genomic Signatures for Colorectal Cancer Survival Using Exploratory Data Mining

Identification of Genomic Signatures for Colorectal Cancer Survival Using Exploratory Data Mining

Clinicopathological presentations are critical for establishing a postoperative treatment regimen in Colorectal Cancer (CRC), although the prognostic value is low in Stage 2 CRC. We implemented a novel exploratory algorithm based on artificial intelligence (explainable artificial intelligence, XAI)...

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Bibliographic Details
Main Authors: Justin J. Hummel, Danlu Liu, Erin Tallon, John Snyder, Wesley Warren, Chi-Ren Shyu, Jonathan Mitchem, Rene Cortese
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:International Journal of Molecular Sciences
Subjects:
colorectal cancer
prognosis
F1CDx repurposing
explainable artificial intelligence
genomic signature
Online Access:https://www.mdpi.com/1422-0067/25/6/3220

Internet

https://www.mdpi.com/1422-0067/25/6/3220

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