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Article

Identification of a 6-gene signature for the survival prediction of breast cancer patients based on integrated multi-omics data analysis.

PloS one - 1 Jan 2020

Mo Wenju, Ding Yuqin, Zhao Shuai, Zou Dehong, Ding Xiaowen

Abstract excerpt

PURPOSE: To identify a gene signature for the prognosis of breast cancer using high-throughput analysis. METHODS: RNASeq, single nucleotide polymorphism (SNP), copy number variation (CNV) data and clinical follow-up information were downloaded from The Cancer Genome Atlas (TCGA), and randomly divided into training set or verification set. Genes related to breast cancer prognosis and differentially expressed genes...

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Identifiers

PMID: 33170908
DOI: 10.1371/journal.pone.0241924
PMCID: PMC7654770

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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