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Flexible Non-Negative Matrix Factorization to Unravel Disease-Related Genes.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Jiang Xue, Zhang Han, Zhang Zhao, Quan Xiongwen

Abstract excerpt

Recently, non-negative matrix factorization (NMF) has been shown to perform well in the analysis of omics data. NMF assumes that the expression level of one gene is a linear additive composition of metagenes. The elements in metagene matrix represent the regulation effects and are restricted to non-negativity. However, according to the real biological meaning, there are two kinds of regulation effects, i.e.,...

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PMID: 29993985
DOI: 10.1109/TCBB.2018.2823746

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