Controlling feature selection in random forests of decision trees using a genetic algorithm: Classification of class I MHC peptides

Combinatorial Chemistry and High Throughput Screening

Volumn 12, Issue 5, 2009, Pages 514-519

  Hansen, Loren ^a,b   Lee, Ernestine A ^c   Hestir, Kevin ^c   Williams, Lewis T ^c   Farrelly, David ^d,e  

^a BOSTON UNIVERSITY   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

^c FIVE PRIME THERAPEUTICS INC   (United States)

^d UTAH STATE UNIVERSITY   (United States)

^e UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

Decision trees; Evolutionary computation; Feature selection; Genetic algorithms; Random forests

Indexed keywords

MAJOR HISTOCOMPATIBILITY ANTIGEN CLASS 1; NONAPEPTIDE;

ARTICLE; CELL LEVEL; CHEMICAL MODEL; CLASSIFICATION ALGORITHM; DECISION TREE; GENETIC ALGORITHM; IMMUNE RESPONSE; PRIORITY JOURNAL; PROTEOMICS; RANDOM FOREST;

ALGORITHMS; AMINO ACIDS; DECISION TREES; GENES, MHC CLASS I; HISTOCOMPATIBILITY ANTIGENS CLASS I; HUMANS; PEPTIDES;

EID: 66849131414     PISSN: 13862073     EISSN: None     Source Type: Journal    
DOI: 10.2174/138620709788488984     Document Type: Article

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