CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition

Computational Biology and Chemistry

Volumn 35, Issue 4, 2011, Pages 218-229

  Khan, Asifullah ^a   Majid, Abdul ^a   Hayat, Maqsood ^a  

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

Author keywords

Dipeptide composition; Ensemble classifier; Protein subcellular location; Pseudo amino acid composition

Indexed keywords

AMPHIPHILICS; BASE LEARNERS; BENCHMARK DATASETS; BIOLOGICAL PROCESS; CELLULAR ENVIRONMENT; COVARIANT; DATA SETS; DIFFERENT MODES; DIPEPTIDE COMPOSITION; ENSEMBLE CLASSIFIERS; FEATURE SPACE; INDIVIDUAL CLASSIFIERS; INDIVIDUAL LEARNING; LEARNING MECHANISM; METABOLIC PATHWAYS; NEAREST NEIGHBORS; PREDICTION ACCURACY; PREDICTION PERFORMANCE; PREDICTIVE PERFORMANCE; PROBABILISTIC NEURAL NETWORKS; PROTEIN SUBCELLULAR LOCATION; PSEUDO AMINO ACID COMPOSITIONS; SUBCELLULAR LOCATION; VOTING STRATEGIES;

AMINO ACIDS; FEATURE EXTRACTION; NEURAL NETWORKS; PEPTIDES; STATISTICAL TESTS;

FORECASTING;

AMINO ACID; DIPEPTIDE; PROTEIN;

ARTICLE; BIOLOGICAL MODEL; BIOLOGY; CELL FRACTIONATION; CHEMISTRY; METHODOLOGY; PROTEIN DATABASE; SUPPORT VECTOR MACHINE;

AMINO ACIDS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; DIPEPTIDES; MODELS, BIOLOGICAL; PROTEINS; SUBCELLULAR FRACTIONS; SUPPORT VECTOR MACHINES;

EID: 79959741759     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2011.05.003     Document Type: Article

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