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Article

SACMDA: MiRNA-Disease Association Prediction with Short Acyclic Connections in Heterogeneous Graph.

Neuroinformatics - 1 Oct 2018

Shao Biyao, Liu Bingtao, Yan Chenggang

Abstract excerpt

MiRNA-disease association is important to disease diagnosis and treatment. Prediction of miRNA-disease associations is receiving increasing attention. Using the huge number of known databases to predict potential associations between miRNAs and diseases is an important topic in the field of biology and medicine. In this paper, we propose a novel computational method of with Short Acyclic Connections in...

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PMID: 29644547
DOI: 10.1007/s12021-018-9373-1

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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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