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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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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:PLoS One
Egile Nagusiak: Yang, Haixuan, Seoighe, Cathal
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Public Library of Science 2016
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC5065197/
https://ncbi.nlm.nih.gov/pubmed/27741311
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0164880
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