Comprehensive evaluation of matrix factorization methods for the analysis of DNA microarray gene expression data

BACKGROUND: Clustering-based methods on gene-expression analysis have been shown to be useful in biomedical applications such as cancer subtype discovery. Among them, Matrix factorization (MF) is advantageous for clustering gene expression patterns from DNA microarray experiments, as it efficiently...

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Detalles Bibliográficos
Autores principales: Kim, Mi Hyeon, Seo, Hwa Jeong, Joung, Je-Gun, Kim, Ju Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278848/
https://www.ncbi.nlm.nih.gov/pubmed/22373334
http://dx.doi.org/10.1186/1471-2105-12-S13-S8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278848/
https://www.ncbi.nlm.nih.gov/pubmed/22373334
http://dx.doi.org/10.1186/1471-2105-12-S13-S8

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