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Robust assignment of cancer subtypes from expression data using a uni-variate gene expression average as classifier
BACKGROUND: Genome wide gene expression data is a rich source for the identification of gene signatures suitable for clinical purposes and a number of statistical algorithms have been described for both identification and evaluation of such signatures. Some employed algorithms are fairly complex and...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2966465/ https://www.ncbi.nlm.nih.gov/pubmed/20925936 http://dx.doi.org/10.1186/1471-2407-10-532 |