Protein interaction sentence detection using multiple semantic kernels

BACKGROUND: Detection of sentences that describe protein-protein interactions (PPIs) in biomedical publications is a challenging and unresolved pattern recognition problem. Many state-of-the-art approaches for this task employ kernel classification methods, in particular support vector machines (SVM...

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Detalles Bibliográficos
Autores principales: Polajnar, Tamara, Damoulas, Theodoros, Girolami, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116455/
https://www.ncbi.nlm.nih.gov/pubmed/21569604
http://dx.doi.org/10.1186/2041-1480-2-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116455/
https://www.ncbi.nlm.nih.gov/pubmed/21569604
http://dx.doi.org/10.1186/2041-1480-2-1

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