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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Detalles Bibliográficos
Autores principales: Taslaman, Leo, Nilsson, Björn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487913/
https://www.ncbi.nlm.nih.gov/pubmed/23133590
http://dx.doi.org/10.1371/journal.pone.0046331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487913/
https://www.ncbi.nlm.nih.gov/pubmed/23133590
http://dx.doi.org/10.1371/journal.pone.0046331

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