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Classification of heterogeneous microarray data by maximum entropy kernel
BACKGROUND: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are commonly used in microarray analyses with support vector machines (SVMs) to approach a wide range of classification proble...
| 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/PMC1994960/ https://www.ncbi.nlm.nih.gov/pubmed/17651507 http://dx.doi.org/10.1186/1471-2105-8-267 |