Tumor Classification Using High-Order Gene Expression Profiles Based on Multilinear ICA

Motivation. Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training gene expression profiles (GEP) ensemble, but it cannot distinguish relations between the different factors, or different modes, and it is not available to high-or...

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Detalles Bibliográficos
Autores principales: Du, Ming-gang, Zhang, Shan-Wen, Wang, Hong
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2778791/
https://www.ncbi.nlm.nih.gov/pubmed/19956422
http://dx.doi.org/10.1155/2009/926450

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2778791/
https://www.ncbi.nlm.nih.gov/pubmed/19956422
http://dx.doi.org/10.1155/2009/926450

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