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Article

Extended application of genomic selection to screen multiomics data for prognostic signatures of prostate cancer.

Briefings in bioinformatics - 20 May 2021

Li Ruidong, Wang Shibo, Cui Yanru, Qu Han, Chater John M, Zhang Le, Wei Julong, Wang Meiyue, Xu Yang, Yu Lei, Lu Jianming, Feng Yuanfa, Zhou Rui, Huang Yuhan, Ma Renyuan, Zhu Jianguo, Zhong Weide, Jia Zhenyu

Abstract excerpt

Prognostic tests using expression profiles of several dozen genes help provide treatment choices for prostate cancer (PCa). However, these tests require improvement to meet the clinical need for resolving overtreatment, which continues to be a pervasive problem in PCa management. Genomic selection (GS) methodology, which utilizes whole-genome markers to predict agronomic traits, was adopted in this study for PCa...

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Identifiers

PMID: 32898860
DOI: 10.1093/bib/bbaa197

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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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