Accurate prediction of immunogenic T-cell epitopes from epitope sequences using the genetic algorithm-based ensemble learning

PLoS ONE

Volumn 10, Issue 5, 2015, Pages

  Zhang, Wen ^a   Niu, Yanqing ^b   Zou, Hua ^a   Luo, Longqiang ^a   Liu, Qianchao ^a   Wu, Weijian ^a  

^a WUHAN UNIVERSITY   (China)

^b SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EPITOPE; RECOMBINANT VACCINE;

ACCURACY; AREA UNDER THE CURVE; ARTICLE; CONTROLLED STUDY; CORRELATION COEFFICIENT; GENETIC ALGORITHM; IMMUNOGENICITY; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MATTHEW CORRELATION COEFFICIENT; PERFORMANCE; SENSITIVITY; SPECIFICITY; ALGORITHM; AMINO ACID SEQUENCE; BIOLOGICAL MODEL; BIOSYNTHESIS; CHEMISTRY; COMPUTER SIMULATION; HUMAN; IMMUNOLOGY; MOLECULAR GENETICS; RECEIVER OPERATING CHARACTERISTIC; T LYMPHOCYTE;

ALGORITHMS; AMINO ACID SEQUENCE; COMPUTER SIMULATION; DATASETS AS TOPIC; EPITOPES, T-LYMPHOCYTE; HUMANS; MODELS, GENETIC; MODELS, IMMUNOLOGICAL; MOLECULAR SEQUENCE DATA; ROC CURVE; T-LYMPHOCYTES; VACCINES, SYNTHETIC;

EID: 84934996079     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0128194     Document Type: Article

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