Learning statistical models for annotating proteins with function information using biomedical text

BMC Bioinformatics

Volumn 6, Issue SUPPL.1, 2005, Pages

  Ray, Soumya ^a,b   Craven, Mark ^a,b  

^a University of Wisconsin   (United States)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL LITERATURE; BIOMEDICAL RESEARCH; BIOMEDICAL TEXT; EVALUATION RESULTS; EXTERNAL DATA SOURCES; EXTRACTING INFORMATION; GENE ONTOLOGY; N-GRAM MODELS;

DATA MINING; EXPERIMENTS; NATURAL LANGUAGE PROCESSING SYSTEMS; STATISTICAL METHODS; TEXT PROCESSING;

PROTEINS;

ACCURACY; ARTICLE; AUTOMATION; BAYESIAN LEARNING; BIOINFORMATICS; HYPOTHESIS; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MACHINE LEARNING; MEDICAL LITERATURE; PERFORMANCE; PREDICTION; PROTEIN FUNCTION; STATISTICAL MODEL; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BIOLOGY; CLASSIFICATION; GENE; GENETICS; MEDICAL RESEARCH; NOMENCLATURE; PROCEDURES; PUBLICATION; STATISTICS AND NUMERICAL DATA; WRITING;

PROTEIN;

BAYES THEOREM; BIOMEDICAL RESEARCH; COMPUTATIONAL BIOLOGY; GENES; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PERIODICALS AS TOPIC; PROTEINS; TERMINOLOGY AS TOPIC; WRITING;

EID: 33947301798     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-6-S1-S18     Document Type: Article

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