Predicting metabolite–disease associations based on auto-encoder and non-negative matrix factorization

• Published in: Briefings in bioinformatics Vol. 24; no. 5
• Main Authors: Gao, Hongyan, Sun, Jianqiang, Wang, Yukun, Lu, Yuer, Liu, Liyu, Zhao, Qi, Shuai, Jianwei
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 20.09.2023; Oxford Publishing Limited (England)
• Subjects: Abnormalities; Chemical reactions; Coders; Deep learning; Disease; Factorization; Manpower; Metabolism; Metabolites; Modules; Multilayer perceptrons; Multilayers; auto-encoder; diseases; feature splicing; multi-layer perceptron; metabolites; non-negative matrix factorization

Abstract Metabolism refers to a series of orderly chemical reactions used to maintain life activities in organisms. In healthy individuals, metabolism remains within a normal range. However, specific diseases can lead to abnormalities in the levels of certain metabolites, causing them to either incr...