Evaluating a variety of text-mined features for automatic protein function prediction with GOstruct

Most computational methods that predict protein function do not take advantage of the large amount of information contained in the biomedical literature. In this work we evaluate both ontology term co-mention and bag-of-words features mined from the biomedical literature and analyze their impact in...

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Detalles Bibliográficos
Autores principales: Funk, Christopher S, Kahanda, Indika, Ben-Hur, Asa, Verspoor, Karin M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4441003/
https://www.ncbi.nlm.nih.gov/pubmed/26005564
http://dx.doi.org/10.1186/s13326-015-0006-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4441003/
https://www.ncbi.nlm.nih.gov/pubmed/26005564
http://dx.doi.org/10.1186/s13326-015-0006-4

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