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Article

Predicting potential miRNA-disease associations based on more reliable negative sample selection.

BMC bioinformatics - 17 Oct 2022

Guo Ruiyu, Chen Hailin, Wang Wengang, Wu Guangsheng, Lv Fangliang

Abstract excerpt

BACKGROUND: Increasing biomedical studies have shown that the dysfunction of miRNAs is closely related with many human diseases. Identifying disease-associated miRNAs would contribute to the understanding of pathological mechanisms of diseases. Supervised learning-based computational methods have continuously been developed for miRNA-disease association predictions. Negative samples of experimentally-validated...

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Identifiers

PMID: 36253735
DOI: 10.1186/s12859-022-04978-3
PMCID: PMC9575264

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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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