Exploiting likely-positive and unlabeled data to improve the identification of protein-protein interaction articles

BMC Bioinformatics

Volumn 9, Issue SUPPL. 1, 2008, Pages

  Tsai, Richard Tzong Han ^a   Hung, Hsi Chuan ^b   Dai, Hong Jie ^b   Lin, Yi Wen ^b   Hsu, Wen Lian ^b  

^a YUAN ZE UNIVERSITY   (Taiwan)

^b INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION MODELS; CLASSIFICATION PERFORMANCE; HIERARCHICAL MODEL; PROTEIN-PROTEIN INTERACTIONS; TEXT CLASSIFICATION SYSTEMS; TEXT CLASSIFIERS; UNLABELED DATA; WEIGHTING SCHEME; CURATION; DATA SETS; F-MEASURE; LABELED DATA; MIXED MODELS; POSITIVE DATA; TRAINING DATA;

DATA PROCESSING; DATABASE SYSTEMS; EXPERIMENTS; HIERARCHICAL SYSTEMS; PROTEINS; TEXT PROCESSING; BIOINFORMATICS;

CLASSIFICATION (OF INFORMATION);

PROTEIN;

ARTICLE; CLASSIFICATION; EVALUATION; MATHEMATICAL MODEL; MEDLINE; PROTEIN DATABASE; PROTEIN PROTEIN INTERACTION; RELIABILITY; SUPPORT VECTOR MACHINE; DATA BASE; DOCUMENTATION; FACTUAL DATABASE; INFORMATION RETRIEVAL; LINGUISTICS; METHODOLOGY; NATURAL LANGUAGE PROCESSING; PROTEIN ANALYSIS; PUBLICATION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ABSTRACTING AND INDEXING AS TOPIC; DATABASE MANAGEMENT SYSTEMS; DATABASES, FACTUAL; DOCUMENTATION; INFORMATION STORAGE AND RETRIEVAL; NATURAL LANGUAGE PROCESSING; PERIODICALS AS TOPIC; PROTEIN INTERACTION MAPPING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VOCABULARY, CONTROLLED;

EID: 84871981420     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-S1-S3     Document Type: Article

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