Top-down hierarchical ensembles of classifiers for predicting g-protein-coupled-receptor functions

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

Volumn 5167 LNBI, Issue , 2008, Pages 35-46

  Costa, Eduardo P ^a   Lorena, Ana C ^b   Carvalho, André C P L F ^a   Freitas, Alex A ^c  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b UNIVERSIDADE FEDERAL DO ABC   (Brazil)

^c UNIVERSITY OF KENT   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOCHEMISTRY; BIOCOMMUNICATIONS; BIOINFORMATICS; BIOLOGY; CLASSIFIERS; DATABASE SYSTEMS; FORECASTING; INFORMATION SCIENCE; LEARNING SYSTEMS; MOLECULAR BIOLOGY; PROTEINS; STANDARDS; TAXONOMIES;

CLASSIFICATION MODELS; COMPUTATIONAL BIOLOGY; FUNCTIONAL CLASSIFICATION; G-PROTEIN-COUPLED RECEPTORS; HIERARCHICAL CLASSIFICATION METHODS; HIERARCHICAL CLASSIFICATIONS; NEW APPROACHES; PROTEIN FUNCTIONS; PROTEIN SIGNATURES; SIGNATURE DATABASES; TOP DOWN APPROACHES; TOP-DOWN;

CLASSIFICATION (OF INFORMATION);

EID: 51849140080     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85557-6_4     Document Type: Conference Paper

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