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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2718648/ https://www.ncbi.nlm.nih.gov/pubmed/18586746 http://dx.doi.org/10.1093/bioinformatics/btn170 |