Prediction of CTL epitopes using QM, SVM and ANN techniques

Vaccine

Volumn 22, Issue 23-24, 2004, Pages 3195-3204

  Bhasin, Manoj ^a   Raghava, G P S ^a  

^a INSTITUTE OF MICROBIAL TECHNOLOGY   (India)

Author keywords

ANN; Artificial Neural Network; CTL; CTL epitopes; cytotoxic T lymphocytes; Leave One Out Cross Validation; LOOCV; major histocompatibility complex; MHC; QM; Quantitative Matrix; Support Vector Machine; SVM

Indexed keywords

EPITOPE;

ANTIGEN PRESENTATION; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; CYTOTOXIC T LYMPHOCYTE; EVALUATION; GENE SEQUENCE; HUMAN; HUMAN CELL; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; VALIDATION PROCESS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER COMMUNICATION NETWORKS; DATABASES, GENETIC; EPITOPES; HUMANS; MAJOR HISTOCOMPATIBILITY COMPLEX; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; T-LYMPHOCYTES, CYTOTOXIC;

EID: 3843052528     PISSN: 0264410X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.vaccine.2004.02.005     Document Type: Article

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