Improved weighted cross-correlation coefficient with a new kernel and its application in predicting T cell epitopes.
- Author:
Jing HUANG
1
;
Jian-hua MA
;
Nan LIU
;
Shan-shan QIAN
Author Information
1. School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. hjing@fimmu.com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artificial Intelligence;
Epitopes, T-Lymphocyte;
Models, Statistical;
Peptides
- From:
Journal of Southern Medical University
2010;30(10):2252-2255
- CountryChina
- Language:Chinese
-
Abstract:
We designed a weighted cross-correlation coefficient considering the "anchor" of the T cell epitopes, and used an evolutionary algorithm to search for an optimal weight vector. A SVM model with this new peptide similarity kernel was evaluated on a T-cell data set. The results demonstrated a good performance of this method.
