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...

Full description

Bibliographic Details

Published in:	Journal of cellular and molecular medicine Vol. 28; no. 17; p. e18553
Main Authors:	Chen, Ziwei, Zhang, Liangzhe, Li, Jingyi, Chen, Hang
Format:	Journal Article
Language:	English
Published:	England 01.09.2024
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!