UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data

• Published in: Briefings in bioinformatics Vol. 24; no. 5
• Main Authors: Abe, Ko, Shimamura, Teppei
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 20.09.2023; Oxford Publishing Limited (England)
• Subjects: Data analysis; Data processing; Data structures; Dimensional analysis; Factor analysis; Factorization; Format; Mathematical analysis; Multidimensional data; Multidimensional methods; Principal components analysis; Problem Solving Protocol; Tensors; factor analysis; metagenome; multi-dimensional data; gene expression analysis; Bayesian statistics; nonnegative matrix factorization

Abstract Factor analysis, ranging from principal component analysis to nonnegative matrix factorization, represents a foremost approach in analyzing multi-dimensional data to extract valuable patterns, and is increasingly being applied in the context of multi-dimensional omics datasets represented i...