about
Overview of BioCreAtIvE: critical assessment of information extraction for biologyOverview of the protein-protein interaction annotation extraction task of BioCreative IIVarious criteria in the evaluation of biomedical named entity recognition.Gene Ontology synonym generation rules lead to increased performance in biomedical concept recognition.Overview of BioCreAtIvE task 1B: normalized gene listsBioCreAtIvE task 1A: gene mention finding evaluationAber-OWL: a framework for ontology-based data access in biologyBiocuration workflows and text mining: overview of the BioCreative 2012 Workshop Track IIHow to link ontologies and protein-protein interactions to literature: text-mining approaches and the BioCreative experienceGoWeb: a semantic search engine for the life science webCommunity challenges in biomedical text mining over 10 years: success, failure and the future.Improving classification in protein structure databases using text mining.Evaluation of research in biomedical ontologiesJointly creating digital abstracts: dealing with synonymy and polysemyCombining heterogeneous data sources for accurate functional annotation of proteins.Managing the data deluge: data-driven GO category assignment improves while complexity of functional annotation increases.A robust data-driven approach for gene ontology annotation.Biomedical ontologies in action: role in knowledge management, data integration and decision support.A sentence sliding window approach to extract protein annotations from biomedical articles.Mining protein function from text using term-based support vector machinesRetrieval with gene queriesEvaluation of lexical methods for detecting relationships between concepts from multiple ontologies.Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks.GO for gene documentsDiscovering gene annotations in biomedical text databases.Gene Ontology density estimation and discourse analysis for automatic GeneRiF extractionAdaptive classifiers, topic drifts and GO annotations.Semi-automated curation of protein subcellular localization: a text mining-based approach to Gene Ontology (GO) Cellular Component curationAnnotation of protein residues based on a literature analysis: cross-validation against UniProtKb.eGIFT: mining gene information from the literature.BC4GO: a full-text corpus for the BioCreative IV GO task.Overview of the gene ontology task at BioCreative IVClassifying protein-protein interaction articles using word and syntactic features.PIE the search: searching PubMed literature for protein interaction informationIntegrating information retrieval with distant supervision for gene ontology annotationClosing the loop: from paper to protein annotation using supervised Gene Ontology classificationA semantic problem solving environment for integrative parasite research: identification of intervention targets for Trypanosoma cruzi.Unsupervised gene function extraction using semantic vectors.Quality of computationally inferred gene ontology annotations.Mining experimental evidence of molecular function claims from the literature.
P2860
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P2860
description
2005 nî lūn-bûn
@nan
2005 թուականին հրատարակուած գիտական յօդուած
@hyw
2005 թվականին հրատարակված գիտական հոդված
@hy
2005年の論文
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2005年論文
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2005年論文
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2005年論文
@zh-hk
2005年論文
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2005年論文
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2005年论文
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name
Evaluation of BioCreAtIvE assessment of task 2
@ast
Evaluation of BioCreAtIvE assessment of task 2
@en
Evaluation of BioCreAtIvE assessment of task 2
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type
label
Evaluation of BioCreAtIvE assessment of task 2
@ast
Evaluation of BioCreAtIvE assessment of task 2
@en
Evaluation of BioCreAtIvE assessment of task 2
@nl
prefLabel
Evaluation of BioCreAtIvE assessment of task 2
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Evaluation of BioCreAtIvE assessment of task 2
@en
Evaluation of BioCreAtIvE assessment of task 2
@nl
P2860
P3181
P1433
P1476
Evaluation of BioCreAtIvE assessment of task 2
@en
P2093
Alfonso Valencia
Eduardo Andres Leon
P2860
P2888
P3181
P356
10.1186/1471-2105-6-S1-S16
P407
P433
P478
P577
2005-01-01T00:00:00Z
P5875
P6179
1038229739