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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...
Tallennettuna:
| Päätekijät: | , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2007
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1821044/ https://ncbi.nlm.nih.gov/pubmed/17328811 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-67 |
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