Identification of protein methylation sites by coupling improved ant colony optimization algorithm and support vector machine

Analytica Chimica Acta

Volumn 703, Issue 2, 2011, Pages 163-171

  Li, Zhan Chao ^a,b   Zhou, Xuan ^a   Dai, Zong ^a   Zou, Xiao Yong ^a  

^a SUN YAT SEN UNIVERSITY   (China)

^b GUANGDONG PHARMACEUTICAL UNIVERSITY   (China)

Author keywords

Ant colony optimization algorithm; Feature selection; Methylation; Support vector machine

Indexed keywords

10-FOLD CROSS-VALIDATION; ANT COLONY OPTIMIZATION ALGORITHMS; BIOLOGICAL PROCESS; COMPLEMENTARY TOOLS; CORRELATION COEFFICIENT; DATABANKS; FEATURE SUBSET; GLOBAL OPTIMAL SOLUTIONS; IDENTIFICATION OF PROTEINS; IMPROVED ANT COLONY OPTIMIZATION; PARAMETER OPTIMIZATION; PHYSICOCHEMICAL PROPERTY; PROTEIN SEQUENCES; SUPPORT VECTOR;

ALKYLATION; ARGININE; ARTIFICIAL INTELLIGENCE; COUPLINGS; FEATURE EXTRACTION; IDENTIFICATION (CONTROL SYSTEMS); METHYLATION; OPTIMIZATION; PROTEINS; SUPPORT VECTOR MACHINES;

ALGORITHMS;

ARGININE; LYSINE;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; PHYSICAL CHEMISTRY; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; PROTEIN CONFORMATION; PROTEIN FUNCTION; PROTEIN METHYLATION; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

ALGORITHMS; ARGININE; DATABASES, PROTEIN; LYSINE; METHYLATION; PROTEINS; SUPPORT VECTOR MACHINES;

EID: 80052215716     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2011.08.008     Document Type: Article

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