Mito-GSAAC: Mitochondria prediction using genetic ensemble classifier and split amino acid composition

Amino Acids

Volumn 42, Issue 4, 2012, Pages 1443-1454

  Afridi, Tariq Habib ^a   Khan, Asifullah ^a   Lee, Yeon Soo ^b  

^a PAKISTAN INSTITUTE OF ENGINEERING AND APPLIED SCIENCES   (Pakistan)

^b Catholic University of Daegu   (South Korea)

Author keywords

AdaBoost; Amino acid composition; Dipeptide composition; Genetic programming; Mitochondrial protein; Random forest

Indexed keywords

AMINO ACID; AMINO TERMINAL TELOPEPTIDE; CARBOXY TERMINAL TELOPEPTIDE; DIPEPTIDE; MITOCHONDRIAL PROTEIN;

ACCURACY; AMINO ACID COMPOSITION; ARTICLE; BIOINFORMATICS; COMPUTER PREDICTION; COMPUTER PROGRAM; CONTROLLED STUDY; GENETICS; INFORMATION PROCESSING; JACKKNIFE TEST; MITO GSAAC; MITOCHONDRION; MOLECULAR BIOLOGY; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN EXPRESSION; PROTEIN FUNCTION; PROTEOMICS; SUPPORT VECTOR MACHINE;

COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; HUMANS; MITOCHONDRIA; MITOCHONDRIAL PROTEINS; SEQUENCE ANALYSIS, PROTEIN;

EUKARYOTA; VASCONCELLEA CANDICANS;

EID: 84862651693     PISSN: 09394451     EISSN: 14382199     Source Type: Journal    
DOI: 10.1007/s00726-011-0888-0     Document Type: Article

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