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Article

FCGCNMDA: predicting miRNA-disease associations by applying fully connected graph convolutional networks.

Molecular genetics and genomics : MGG - 1 Sept 2020

Li Jiashu, Li Zhengwei, Nie Ru, You Zhuhong, Bao Wenzhang

Abstract excerpt

Growing evidence indicates that the development and progression of multiple complex diseases are influenced by microRNA (miRNA). Identifying more miRNAs as biomarkers for clinical diagnosis, treatment and prognosis is vital to promote the development of bioinformatics and medicine. Considering that the traditional biological experimental methods are generally time-consuming and expensive, high-efficient...

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PMID: 32500265
DOI: 10.1007/s00438-020-01693-7

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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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