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Article

Using machine learning to identify gene interaction networks associated with breast cancer.

BMC cancer - 17 Oct 2022

Liu Liyuan, Zhai Wenli, Wang Fei, Yu Lixiang, Zhou Fei, Xiang Yujuan, Huang Shuya, Zheng Chao, Yuan Zhongshang, He Yong, Yu Zhigang, Ji Jiadong

Abstract excerpt

BACKGROUND: Breast cancer (BC) is one of the most prevalent cancers worldwide but its etiology remains unclear. Obesity is recognized as a risk factor for BC, and many obesity-related genes may be involved in its occurrence and development. Research assessing the complex genetic mechanisms of BC should not only consider the effect of a single gene on the disease, but also focus on the interaction between genes....

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Share to Breast Neoplasms
Share to Gene Expression Regulation, Neoplastic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Polymorphism, Single Nucleotide

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Source

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Identifiers

PMID: 36253742
DOI: 10.1186/s12885-022-10170-w
PMCID: PMC9575346

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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