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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...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Hindawi Publishing Corporation
2009
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2778791/ https://ncbi.nlm.nih.gov/pubmed/19956422 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2009/926450 |
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