Integration of 101 machine learning algorithm combinations to unveil m6A/m1A/m5C/m7G-associated prognostic signature in colorectal cancer

Abstract Colorectal cancer (CRC) is the most common malignancy in the digestive system, with a lower 5-year overall survival rate. There is increasing evidence showing that RNA modification regulators such as m1A, m5C, m6A, and m7G play crucial roles in tumor progression. However, the prognostic rol...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Hao Wei, Qingsong Luo, Weimin Zhong
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-02-01
Subjects:	Colorectal cancer RNA modification Machine learning Immune cell Immunotherapy Candidate drugs
Online Access:	https://doi.org/10.1038/s41598-025-89944-8