Cargando…
Using multitask classification methods to investigate the kinase-specific phosphorylation sites
BACKGROUND: Identification of phosphorylation sites by computational methods is becoming increasingly important because it reduces labor-intensive and costly experiments and can improve our understanding of the common properties and underlying mechanisms of protein phosphorylation. METHODS: A multit...
Autores principales: | Gao, Shan, Xu, Shuo, Fang, Yaping, Fang, Jianwen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3380725/ https://www.ncbi.nlm.nih.gov/pubmed/22759584 http://dx.doi.org/10.1186/1477-5956-10-S1-S7 |
Ejemplares similares
-
Molecular cancer classification using a meta-sample-based regularized robust coding method
por: Wang, Shu-Lin, et al.
Publicado: (2014) -
The Musite open-source framework for phosphorylation-site prediction
por: Gao, Jianjiong, et al.
Publicado: (2010) -
Diagnostic prediction of complex diseases using phase-only correlation based on virtual sample template
por: Wang, Shu-Lin, et al.
Publicado: (2013) -
An ensemble method approach to investigate kinase-specific phosphorylation sites
por: Datta, Sutapa, et al.
Publicado: (2014) -
Splice site identification using probabilistic parameters and SVM classification
por: Baten, AKMA, et al.
Publicado: (2006)