New feature vector for apoptosis protein subcellular localization prediction

Communications in Computer and Information Science

Volumn 190 CCIS, Issue PART 1, 2011, Pages 294-301

  Govindan, Geetha ^a   Nair, Achuthsankar S ^a  

^a UNIVERSITY OF KERALA   (India)

Author keywords

correlation based feature selection; di peptides; na ve bayes classification; protein subcellular localization

Indexed keywords

AMINO ACID SEQUENCE; APOPTOSIS PROTEINS; BAYES CLASSIFICATION; BIOLOGICAL INFORMATION; CORRELATION-BASED FEATURE SELECTION; DI-PEPTIDES; FEATURE SELECTION METHODS; FEATURE VECTORS; FULL-LENGTH PROTEINS; HIGHER ORDER; PREDICTION ACCURACY; PROTEIN SUBCELLULAR LOCALIZATION; SUBCELLULAR LOCALIZATIONS; SUBCELLULAR LOCATION;

AMINO ACIDS; CELL DEATH; FORECASTING; PEPTIDES;

FEATURE EXTRACTION;

EID: 80051562093     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-22709-7_30     Document Type: Conference Paper

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