Protein structural class prediction based on an improved statistical strategy

BMC Bioinformatics

Volumn 9, Issue SUPPL. 6, 2008, Pages

  Gu, Fei ^a   Chen, Hang ^b   Ni, Jun ^c  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c UNIVERSITY OF IOWA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID COMPOSITIONS; BIOLOGICAL SIGNIFICANCE; CROSS-VALIDATION TESTS; LONG-TERM CORRELATIONS; PREDICTION TECHNIQUES; PROTEIN STRUCTURES; SEQUENCE SIMILARITY; STATISTICAL STRATEGIES;

AMINO ACIDS; INFORMATION THEORY; STATISTICAL METHODS;

PROTEINS;

AMINO ACID; PROTEIN;

ACCURACY; AMINO ACID ANALYSIS; AMINO ACID COMPOSITION; ANALYTIC METHOD; ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; INFORMATION SCIENCE; JACKKNIFE TEST; MOLECULAR BIOLOGY; PREDICTION; PROBABILITY; PROTEIN STRUCTURE; RELIABILITY; SEQUENCE ANALYSIS; STATISTICAL ANALYSIS; ALGORITHM; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; METHODOLOGY; PROTEIN CONFORMATION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; ULTRASTRUCTURE;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; MODELS, CHEMICAL; MODELS, MOLECULAR; PROTEIN CONFORMATION; PROTEINS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS, PROTEIN;

EID: 47249124571     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-S6-S5     Document Type: Article

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