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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...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2009
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| 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 |