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Article

Integration of Multiple Genomic and Phenotype Data to Infer Novel miRNA-Disease Associations.

PloS one - 1 Jan 2016

Shi Hongbo, Zhang Guangde, Zhou Meng, Cheng Liang, Yang Haixiu, Wang Jing, Sun Jie, Wang Zhenzhen

Abstract excerpt

MicroRNAs (miRNAs) play an important role in the development and progression of human diseases. The identification of disease-associated miRNAs will be helpful for understanding the molecular mechanisms of diseases at the post-transcriptional level. Based on different types of genomic data sources, computational methods for miRNA-disease association prediction have been proposed. However, individual source of...

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PMID: 26849207
DOI: 10.1371/journal.pone.0148521
PMCID: PMC4743935

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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