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Article

MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.

BMC bioinformatics - 14 Oct 2020

Wu Tian-Ru, Yin Meng-Meng, Jiao Cui-Na, Gao Ying-Lian, Kong Xiang-Zhen, Liu Jin-Xing

Abstract excerpt

BACKGROUND: MicroRNAs (miRNAs) are non-coding RNAs with regulatory functions. Many studies have shown that miRNAs are closely associated with human diseases. Among the methods to explore the relationship between the miRNA and the disease, traditional methods are time-consuming and the accuracy needs to be improved. In view of the shortcoming of previous models, a method, collaborative matrix factorization based...

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Identifiers

PMID: 33054708
DOI: 10.1186/s12859-020-03799-6
PMCID: PMC7556955

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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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