Cargando…
A Comprehensive Benchmark of Kernel Methods to Extract Protein–Protein Interactions from Literature
The most important way of conveying new findings in biomedical research is scientific publication. Extraction of protein–protein interactions (PPIs) reported in scientific publications is one of the core topics of text mining in the life sciences. Recently, a new class of such methods has been propo...
Autores principales: | Tikk, Domonkos, Thomas, Philippe, Palaga, Peter, Hakenberg, Jörg, Leser, Ulf |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2895635/ https://www.ncbi.nlm.nih.gov/pubmed/20617200 http://dx.doi.org/10.1371/journal.pcbi.1000837 |
Ejemplares similares
-
A detailed error analysis of 13 kernel methods for protein–protein interaction extraction
por: Tikk, Domonkos, et al.
Publicado: (2013) -
A fast and effective dependency graph kernel for PPI relation extraction
por: Tikk, Domonkos, et al.
Publicado: (2010) -
Simple tricks for improving pattern-based information extraction from the biomedical literature
por: Nguyen, Quang Long, et al.
Publicado: (2010) -
Species identification for gene name normalization
por: Solt, Illés, et al.
Publicado: (2010) -
Gene mention normalization and interaction extraction with context models and sentence motifs
por: Hakenberg, Jörg, et al.
Publicado: (2008)