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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Scientific Reports
المؤلفون الرئيسيون: Hao Wei, Qingsong Luo, Weimin Zhong
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Nature Portfolio 2025-02-01
الموضوعات:
Colorectal cancer
RNA modification
Machine learning
Immune cell
Immunotherapy
Candidate drugs
الوصول للمادة أونلاين:https://doi.org/10.1038/s41598-025-89944-8

الانترنت

https://doi.org/10.1038/s41598-025-89944-8

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