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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...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2007
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1994960/ https://ncbi.nlm.nih.gov/pubmed/17651507 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-267 |
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