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Classification methods for the development of genomic signatures from high-dimensional data
Personalized medicine is defined by the use of genomic signatures of patients to assign effective therapies. We present Classification by Ensembles from Random Partitions (CERP) for class prediction and apply CERP to genomic data on leukemia patients and to genomic data with several clinical variabl...
| Autores principales: | , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1794434/ https://www.ncbi.nlm.nih.gov/pubmed/17181863 http://dx.doi.org/10.1186/gb-2006-7-12-r121 |