Prediction of protein structure classes using hybrid space of multi-profile Bayes and bi-gram probability feature spaces

Journal of Theoretical Biology

Volumn 346, Issue , 2014, Pages 8-15

  Hayat, Maqsood ^a   Tahir, Muhammad ^b   Khan, Sher Afzal ^a  

^a ABDUL WALI KHAN UNIVERSITY   (Pakistan)

^b Department of Computer Science   (Pakistan)

Author keywords

Bi gram probability; Multi profile Bayes; OET KNN; PSO

Indexed keywords

BAYESIAN ANALYSIS; NUMERICAL MODEL; OPTIMIZATION; PROBABILITY; PROTEIN; THEORETICAL STUDY;

ARTICLE; BAYES THEOREM; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; HYBRID SPACE; K NEAREST NEIGHBOR; MEASUREMENT ACCURACY; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROTEIN STRUCTURE; QUALITY CONTROL; SENSITIVITY AND SPECIFICITY; STATISTICAL PARAMETERS; STRUCTURE ANALYSIS;

BI-GRAM PROBABILITY; MULTI-PROFILE BAYES; OET-KNN; PSO;

ALGORITHMS; AMINO ACID SEQUENCE; BAYES THEOREM; DATABASES, PROTEIN; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PROBABILITY; PROTEINS;

EID: 84892457142     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2013.12.015     Document Type: Article

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