Identifying protein-kinase-specific phosphorylation sites based on the baggingadaboost ensemble approach

IEEE Transactions on Nanobioscience

Volumn 9, Issue 2, 2010, Pages 132-143

  Yu, Zhiwen ^a   Deng, Zhongkai ^b   Wong, Hau San ^b   Tan, Lirong ^b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Adaptive boosting (AdaBoost); Bagging; Ensemble; Kinase family; Phosphorylation sites; Prediction

Indexed keywords

ADABOOST; APOPTOSIS; BIOLOGICAL PROCESS; BOOSTING ENSEMBLES; CELL CYCLE; CLASSIFIER ENSEMBLES; EUKARYOTIC PROTEINS; KINASE FAMILY; MEMBRANE TRANSPORT; PHOSPHORYLATION SITES; PREDICTION SYSTEMS; PROTEIN PHOSPHORYLATION;

ADAPTIVE BOOSTING; BIOINFORMATICS; CELL DEATH; CLASSIFIERS; FORECASTING; NEURAL NETWORKS; PROTEINS;

PHOSPHORYLATION;

EUKARYOTA;

PROTEIN KINASE;

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; BAYES THEOREM; BIOLOGY; CHEMISTRY; COMPUTER PROGRAM; ENZYME ACTIVE SITE; METABOLISM; METHODOLOGY; PHOSPHORYLATION; PRINCIPAL COMPONENT ANALYSIS; PROTEIN DATABASE; REPRODUCIBILITY; SEQUENCE ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; AMINO ACID SEQUENCE; BAYES THEOREM; CATALYTIC DOMAIN; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; MODELS, STATISTICAL; PHOSPHORYLATION; PRINCIPAL COMPONENT ANALYSIS; PROTEIN KINASES; REPRODUCIBILITY OF RESULTS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 77953274042     PISSN: 15361241     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNB.2010.2043682     Document Type: Article

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