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Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
BACKGROUND: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more important for our understanding of diseases at genomic level. Although many machine learning methods have been developed and app...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1821044/ https://www.ncbi.nlm.nih.gov/pubmed/17328811 http://dx.doi.org/10.1186/1471-2105-8-67 |