Prediction of Protein Cleavage Site with Feature Selection by Random Forest

PLoS ONE

Volumn 7, Issue 9, 2012, Pages

  Li, Bi Qing ^b,c   Cai, Yu Dong ^a   Feng, Kai Yan ^d   Zhao, Gui Jun ^e,f  

^a SHANGHAI UNIVERSITY   (China)

^b Shanghai Jiao Tong University Affiliated Sixth People s Hospital   (China)

^c SHANGHAI CENTER FOR BIOINFORMATION TECHNOLOGY   (China)

^d BGI SHENZHEN   (China)

^e SHANGHAI JIAO TONG UNIVERSITY SCHOOL OF MEDICINE   (China)

^f BEIJING HOSPITAL   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; BIOCHEMISTRY; GENETIC CONSERVATION; INCREMENTAL FEATURE SELECTION; INTERMETHOD COMPARISON; LEARNING ALGORITHM; MAXIMUM RELEVANCE MINIMUM REDUNDANCY METHOD; PHYSICAL CHEMISTRY; PREDICTIVE VALUE; PREDICTOR VARIABLE; PROCESS DEVELOPMENT; PROTEIN ANALYSIS; PROTEIN CLEAVAGE; PROTEIN SECONDARY STRUCTURE; RANDOM FOREST; VALIDATION PROCESS;

ALGORITHMS; AMINO ACID MOTIFS; AMINO ACID SEQUENCE; CONSERVED SEQUENCE; DECISION TREES; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PEPTIDE HYDROLASES; PROTEASOME ENDOPEPTIDASE COMPLEX; PROTEOLYSIS; SEQUENCE ANALYSIS, PROTEIN;

EID: 84866513535     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0045854     Document Type: Article

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