Establishment of two pathomic-based machine learning models to predict CLCA1 expression in colon adenocarcinoma.

Establishment of two pathomic-based machine learning models to predict CLCA1 expression in colon adenocarcinoma.

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Chloride channel accessory 1 (CLCA1) is considered a potential prognostic biomarker for colon adenocarcinoma (COAD). The objective of this research was to develop two pathomics models to predict CLCA1 expression from hematoxylin-eosin (H&E) stained pathological images and to investigate the biol...

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Bibliographic Details
Main Authors: Caiyun Yao, Maotong Hu, Lingxia Zhou, Hui Chen, Yang Cao
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0328220
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