Cargando…
An SVM method using evolutionary information for the identification of allergenic proteins
This study presents an allergenic protein prediction system that appears to be capable of producing high sensitivity and specificity. The proposed system is based on support vector machine (SVM) using evolutionary information in the form of an amino acid position specific scoring matrix (PSSM). The...
Autores principales: | Kumar, Kandaswamy Krishna, Shelokar, Prakash Shrikrishna |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics Publishing Group
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2258428/ https://www.ncbi.nlm.nih.gov/pubmed/18317576 |
Ejemplares similares
-
SSPred: A prediction server based on SVM for the identification and classification of proteins involved in bacterial secretion systems
por: Pundhir, Sachin, et al.
Publicado: (2011) -
Prediction of N-myristoylation modification of proteins by SVM
por: Cao, Wei, et al.
Publicado: (2011) -
Prediction of cystine connectivity using SVM
por: G. L., Jayavardhana Rama, et al.
Publicado: (2005) -
TATPred: a Bayesian method for the identification of twin arginine translocation pathway signal sequences
por: Taylor, Paul D, et al.
Publicado: (2006) -
Hidden markov model for the prediction of transmembrane proteins using MATLAB
por: Chaturvedi, Navaneet, et al.
Publicado: (2011)