Impact of the Choice of Normalization Method on Molecular Cancer Class Discovery Using Nonnegative Matrix Factorization

Nonnegative Matrix Factorization (NMF) has proved to be an effective method for unsupervised clustering analysis of gene expression data. By the nonnegativity constraint, NMF provides a decomposition of the data matrix into two matrices that have been used for clustering analysis. However, the decom...

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Detalles Bibliográficos
Autores principales: Yang, Haixuan, Seoighe, Cathal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5065197/
https://www.ncbi.nlm.nih.gov/pubmed/27741311
http://dx.doi.org/10.1371/journal.pone.0164880

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5065197/
https://www.ncbi.nlm.nih.gov/pubmed/27741311
http://dx.doi.org/10.1371/journal.pone.0164880

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