Microbe-disease associations prediction by graph regularized non-negative matrix factorization with L 2 , 1 $$ {L}_{2,1} $$ norm regularization terms

Microbes are involved in a wide range of biological processes and are closely associated with disease. Inferring potential disease-associated microbes as the biomarkers or drug targets may help prevent, diagnose and treat complex human diseases. However, biological experiments are time-consuming and...

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Veröffentlicht in:	Journal of cellular and molecular medicine Jg. 28; H. 17; S. e18553
Hauptverfasser:	Chen, Ziwei, Zhang, Liangzhe, Li, Jingyi, Chen, Hang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 01.09.2024
Schlagworte:	Algorithms Computational Biology - methods Humans Microbiota graph dual regularization microbe–disease association inertial proximal alternating linearized minimization norm regularization non‐negative matrix factorization
ISSN:	1582-4934, 1582-4934
Online-Zugang:	Volltext
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