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POIMs: positional oligomer importance matrices—understanding support vector machine-based signal detectors

Motivation: At the heart of many important bioinformatics problems, such as gene finding and function prediction, is the classification of biological sequences. Frequently the most accurate classifiers are obtained by training support vector machines (SVMs) with complex sequence kernels. However, a...

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Detalles Bibliográficos
Main Authors: Sonnenburg, Sören, Zien, Alexander, Philips, Petra, Rätsch, Gunnar
Formato: Artigo
Idioma:Inglês
Publicado: Oxford University Press 2008
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC2718648/
https://ncbi.nlm.nih.gov/pubmed/18586746
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btn170
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