Discriminating lysosomal membrane protein types using dynamic neural network

Journal of Biomolecular Structure and Dynamics

Volumn 32, Issue 10, 2014, Pages 1575-1582

  Tripathi, Vijay ^a,b   Gupta, Dwijendra Kumar ^b  

^a UNIVERSITY OF HAIFA   (Israel)

^b UNIVERSITY OF ALLAHABAD   (India)

Author keywords

dynamic neural network; generalized regression neural network; layer recurrent network; lysosomal membrane proteins; probabilistic neural network; support vector machine

Indexed keywords

AMINO ACID; DIPEPTIDE; GLOBULAR PROTEIN; MEMBRANE PROTEIN; OUTER MEMBRANE PROTEIN;

ACCURACY; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ALGORITHM; CLASSIFIER; CONTROLLED STUDY; DATA BASE; ELECTRONICS; ELMAN REGRESSION NEURAL NETWORK; GENERALIZED RECURSIVE NEURAL NETWORK; HYDROPHOBICITY; INTERMETHOD COMPARISON; LAYER RECURRENT NETWORK; LYSOSOME MEMBRANE; MOLECULAR DYNAMICS; PHYSICAL CHEMISTRY; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; PROBALISTIC NEURAL NETWORK; PROTEIN ANALYSIS; REGRESSION ANALYSIS; VALIDATION PROCESS; ALGORITHM; CHEMISTRY; LYSOSOME; METABOLISM; PROTEIN DATABASE;

ALGORITHMS; AMINO ACID SEQUENCE; DATABASES, PROTEIN; LYSOSOMES; MEMBRANE PROTEINS; NEURAL NETWORKS (COMPUTER); PRINCIPAL COMPONENT ANALYSIS;

EID: 84904062599     PISSN: 07391102     EISSN: 15380254     Source Type: Journal    
DOI: 10.1080/07391102.2013.827133     Document Type: Article

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