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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Autores principales: Leo Taslaman, Björn Nilsson
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/801bcbbcc3384ae3a416ec9c3e844900
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