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Integrating machine learning of bulk and single cell RNA data to characterize immune mechanism of m6A related mitophagy genes in malignant gastric cancer.

Computer methods and programs in biomedicine - 15 May 2026

Yan Liting, Sun Jingying, Feng Yangmeng, Yang Xiaoli, Xu Cuixiang, Wang Jianhua

Abstract excerpt

BACKGROUND AND OBJECTIVE: Gastric cancer is a heterogeneous and complicated epithelial cancers. Chronic H. pylori and EBV infection, as well as intestinal microbiota exposure make gastric cancer encountered a complex tumor immune microenvironment. Mitophagy and m6A are deeply involved in immune microenvironment in the development of tumors. METHODS: We used integrating machine learning of bulk and single cell RNA...

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Gene Expression Regulation, Neoplastic
Machine Learning
Mitophagy
Sequence Analysis, RNA
Single-Cell Analysis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Stomach Neoplasms

Tumor Microenvironment

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PMID: 41797008
DOI: 10.1016/j.cmpb.2026.109307

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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