A novel method for predicting protein subcellular localization based on pseudo amino acid composition

BMB Reports

Volumn 43, Issue 10, 2010, Pages 670-676

  Ma, Junwei ^a   Gu, Hong ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Elman neural network; Five fold cross validation; Principal component analysis; Protein subcellular localization; Pseudo amino acid composition

Indexed keywords

AMINO ACID; PROTEIN;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGY; CELL FRACTIONATION; CHEMISTRY; COMPUTER PROGRAM; EVALUATION; FORECASTING; HUMAN; METABOLISM; METHODOLOGY; PROTEIN DATABASE; SEQUENCE ANALYSIS; TISSUE DISTRIBUTION;

ALGORITHMS; AMINO ACIDS; ANIMALS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; FORECASTING; HUMANS; NEURAL NETWORKS (COMPUTER); PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE; SUBCELLULAR FRACTIONS; TISSUE DISTRIBUTION;

EID: 78649464719     PISSN: 19766696     EISSN: 1976670X     Source Type: Journal    
DOI: 10.3858/BMBRep.2010.43.10.670     Document Type: Article

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