LDA-VGHB: identifying potential lncRNA–disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine

Long noncoding RNAs (lncRNAs) participate in various biological processes and have close linkages with diseases. In vivo and in vitro experiments have validated many associations between lncRNAs and diseases. However, biological experiments are time-consuming and expensive. Here, we introduce LDA-VG...

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Veröffentlicht in:	Briefings in bioinformatics Jg. 25; H. 1
Hauptverfasser:	Peng, Lihong, Huang, Liangliang, Su, Qiongli, Tian, Geng, Chen, Min, Han, Guosheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford Publishing Limited (England) 01.01.2024 Oxford University Press
Schlagworte:	Biological activity Biological effects Biomedical materials Breast cancer Colorectal cancer Colorectal carcinoma Decomposition Disease Kidneys Lung cancer Neoplasms Non-coding RNA Problem Solving Protocol Singular value decomposition Tumors variational graph autoencoder heterogeneous Newton boosting machine lncRNA–disease association singular value decomposition
ISSN:	1467-5463, 1477-4054, 1477-4054
Online-Zugang:	Volltext
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