Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
BACKGROUND: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks within the field of bioinformatics. Conventional kernels utilized so far do not provide an easy interpretation of the lea...
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| Veröffentlicht in: | BMC Bioinformatics |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BMC
2004
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| Schlagworte: | |
| Online-Zugang: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC535353/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/15511290/ https://ncbi.nlm.nih.govhttps://doi.org/10.1186/1471-2105-5-169 |
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