Predicting protein secondary structure using a mixed-modal SVM method in a compound pyramid model

Knowledge-Based Systems

Volumn 24, Issue 2, 2011, Pages 304-313

  Yang, Bingru ^a   Wu, Qu ^a   Ying, Zhou ^a   Sui, Haifeng ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

Author keywords

Compound pyramid model; Mixed modal SVM; Physicochemical properties; Protein secondary structure prediction

Indexed keywords

ACCURACY MEASURES; BACK PROPAGATION NEURAL NETWORKS; BLIND TEST; COGNITIVE MECHANISMS; COMPOUND PYRAMID MODELS; DATA SETS; EVOLUTIONARY INFORMATION; INTELLIGENT INTERFACE; KNOWLEDGE DISCOVERY; KNOWLEDGE DISCOVERY IN DATABASE; MIXED-MODAL SVM; MULTIPLE SEQUENCE ALIGNMENTS; NEW APPROACHES; OVERLAP MEASURES; PHYSICOCHEMICAL PROPERTY; POSITION SPECIFIC SCORING MATRIX; PROTEIN SECONDARY STRUCTURE; PROTEIN SECONDARY STRUCTURE PREDICTION; PROTEIN SEQUENCES; PSI-BLAST; SECONDARY STRUCTURE PREDICTION; SECONDARY STRUCTURES; SEQUENCE ANALYSIS; TERTIARY STRUCTURES; THREE-LAYER;

AMINO ACIDS; NEURAL NETWORKS; PROTEINS; STATISTICAL TESTS;

FORECASTING;

EID: 78650804979     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2010.10.002     Document Type: Article

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