Predicting lncRNA-disease associations using network topological similarity based on deep mining heterogeneous networks

DOI10.1016/J.MBS.2019.108229zbMath1425.92088OpenAlexW2962049406WikidataQ92022922 ScholiaQ92022922MaRDI QIDQ2328466

Yanyan Li

Publication date: 10 October 2019

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2019.108229

zbMATH Keywords

similarity measuredeep learningbiological network sciencelncRNA-disease association prediction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40) Systems biology, networks (92C42)

Related Items (1)

Editorial. The application of machine learning to disease diagnosis and treatment

Uses Software

• word2vec
• ncPred
• starBase
• GitHub
• node2vec
• LncADeep
• LncDisease
• DeepWalk
• LINE

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