Accurate splice site prediction using support vector machines

BACKGROUND: For splice site recognition, one has to solve two classification problems: discriminating true from decoy splice sites for both acceptor and donor sites. Gene finding systems typically rely on Markov Chains to solve these tasks. RESULTS: In this work we consider Support Vector Machines f...

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Detalles Bibliográficos
Autores principales: Sonnenburg, Sören, Schweikert, Gabriele, Philips, Petra, Behr, Jonas, Rätsch, Gunnar
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2230508/
https://www.ncbi.nlm.nih.gov/pubmed/18269701
http://dx.doi.org/10.1186/1471-2105-8-S10-S7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2230508/
https://www.ncbi.nlm.nih.gov/pubmed/18269701
http://dx.doi.org/10.1186/1471-2105-8-S10-S7

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