Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning

For modern biology, precise genome annotations are of prime importance, as they allow the accurate definition of genic regions. We employ state-of-the-art machine learning methods to assay and improve the accuracy of the genome annotation of the nematode Caenorhabditis elegans. The proposed machine...

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Detalles Bibliográficos
Autores principales: Rätsch, Gunnar, Sonnenburg, Sören, Srinivasan, Jagan, Witte, Hanh, Müller, Klaus-R, Sommer, Ralf-J, Schölkopf, Bernhard
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1808025/
https://www.ncbi.nlm.nih.gov/pubmed/17319737
http://dx.doi.org/10.1371/journal.pcbi.0030020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1808025/
https://www.ncbi.nlm.nih.gov/pubmed/17319737
http://dx.doi.org/10.1371/journal.pcbi.0030020

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