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Article

Prediction of MicroRNA-Disease Associations Based on Social Network Analysis Methods.

BioMed research international - 1 Jan 2015

Zou Quan, Li Jinjin, Hong Qingqi, Lin Ziyu, Wu Yun, Shi Hua, Ju Ying

Abstract excerpt

MicroRNAs constitute an important class of noncoding, single-stranded, ~22 nucleotide long RNA molecules encoded by endogenous genes. They play an important role in regulating gene transcription and the regulation of normal development. MicroRNAs can be associated with disease; however, only a few microRNA-disease associations have been confirmed by traditional experimental approaches. We introduce two methods to...

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Identifiers

PMID: 26273645
DOI: 10.1155/2015/810514
PMCID: PMC4529919

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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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