A framework for regularized non-negative matrix factorization, with application to the analysis of gene expression data.

A framework for regularized non-negative matrix factorization, with application to the analysis of gene expression data.

Non-negative matrix factorization (NMF) condenses high-dimensional data into lower-dimensional models subject to the requirement that data can only be added, never subtracted. However, the NMF problem does not have a unique solution, creating a need for additional constraints (regularization constra...

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Bibliographic Details
Main Authors:	Leo Taslaman, Björn Nilsson
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2012-01-01
Series:	PLoS ONE
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23133590/?tool=EBI

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