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Article

SNMDA: A novel method for predicting microRNA-disease associations based on sparse neighbourhood.

Journal of cellular and molecular medicine - 1 Oct 2018

Qu Yu, Zhang Huaxiang, Liang Cheng, Ding Pingjian, Luo Jiawei

Abstract excerpt

miRNAs are a class of small noncoding RNAs that are associated with a variety of complex biological processes. Increasing studies have shown that miRNAs have close relationships with many human diseases. The prediction of the associations between miRNAs and diseases has thus become a hot topic. Although traditional experimental methods are reliable, they could only identify a limited number of associations as...

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Identifiers

PMID: 30030889
DOI: 10.1111/jcmm.13799
PMCID: PMC6156399

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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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SNMDA: A novel method for predicting microRNA-disease associations based on sparse neighbourhood.PMID 30030889Read ↗

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