Active machine learning for transmembrane helix prediction

BMC Bioinformatics

Volumn 11, Issue SUPPLL.1, 2010, Pages

  Osmanbeyoglu, Hatice U ^a   Wehner, Jessica A ^b   Carbonell, Jaime G ^c   Ganapathiraju, Madhavi K ^a,d  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b University of North Carolina at Chapel Hill   (United States)

^c Carnegie Mellon University   (United States)

^d UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE MACHINE LEARNING; BIOINFORMATICS APPLICATIONS; FEATURE EXTRACTION METHODS; HIGH-RESOLUTION STRUCTURES; SELECTION PROCEDURES; SUPERVISED MACHINE LEARNING; TRANSMEMBRANE HELICES; TRANSMEMBRANE HELIX PREDICTION;

ALGORITHMS; BENCHMARKING; BIOINFORMATICS; BIOLOGICAL MEMBRANES; FEATURE EXTRACTION; FORECASTING; LEARNING SYSTEMS;

PROTEINS;

MEMBRANE PROTEIN;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; CHEMISTRY; PROTEIN DATABASE; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE; SEQUENCE ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATABASES, PROTEIN; MEMBRANE PROTEINS; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; SEQUENCE ANALYSIS, PROTEIN;

EID: 75149177725     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-S1-S58     Document Type: Article

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