Supervised classification of combined copy number and gene expression data
In this paper we apply a predictive profiling method to genome copy number aberrations (CNA) in combination with gene expression and clinical data to identify molecular patterns of cancer pathophysiology. Predictive models and optimal feature lists for the platforms are developed by a complete valid...
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| Hlavní autoři: | , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
De Gruyter
2007-12-01
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| Edice: | Journal of Integrative Bioinformatics |
| On-line přístup: | https://doi.org/10.1515/jib-2007-74 |
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