Prediction of protein-protein binding hot spots: A combination of classifiers approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5167 LNBI, Issue , 2008, Pages 165-168

  Higa, Roberto Hiroshi ^a,b   Tozzi, Clésio Luis ^b  

^a EMBRAPA CERRADOS   (Brazil)

^b UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Binding sites; Combination of classifiers; Hot spots; Protein interaction

Indexed keywords

BIOCHEMISTRY; BIOCOMMUNICATIONS; BIOINFORMATICS; CHEMICAL PROPERTIES; CLASSIFICATION (OF INFORMATION); FORECASTING; INFORMATION SCIENCE; LEARNING SYSTEMS; STATISTICAL TESTS;

BINDING SITES; COMBINATION OF CLASSIFIERS; COMPUTATIONAL BIOLOGY; DATA SETS; F-MEASURE; FEATURE SETS; HOT SPOTS; HOT SPOTTING; PROTEIN BINDINGS; PROTEIN INTERACTION; PROTEIN-PROTEIN BINDING;

CLASSIFIERS;

EID: 51849160890     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85557-6_16     Document Type: Conference Paper

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