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Items: 1 to 20 of 139

1.
2.

Integrating image data into biomedical text categorization.

Shatkay H, Chen N, Blostein D.

Bioinformatics. 2006 Jul 15;22(14):e446-53.

3.

Enhancing access to the Bibliome: the TREC 2004 Genomics Track.

Hersh WR, Bhupatiraju RT, Ross L, Roberts P, Cohen AM, Kraemer DF.

J Biomed Discov Collab. 2006 Mar 13;1:3.

4.

Enhancing access to the Bibliome: the TREC Genomics Track.

Hersh W, Bhupatiraju RT, Corley S.

Stud Health Technol Inform. 2004;107(Pt 2):773-7.

PMID:
15360917
5.

Integrating text mining into the MGI biocuration workflow.

Dowell KG, McAndrews-Hill MS, Hill DP, Drabkin HJ, Blake JA.

Database (Oxford). 2009;2009:bap019. Epub 2009 Nov 21.

6.

Semi-automated curation of protein subcellular localization: a text mining-based approach to Gene Ontology (GO) Cellular Component curation.

Van Auken K, Jaffery J, Chan J, Müller HM, Sternberg PW.

BMC Bioinformatics. 2009 Jul 21;10:228. doi: 10.1186/1471-2105-10-228.

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Evaluation of BioCreAtIvE assessment of task 2.

Blaschke C, Leon EA, Krallinger M, Valencia A.

BMC Bioinformatics. 2005;6 Suppl 1:S16. Epub 2005 May 24.

10.

Overview of the gene ontology task at BioCreative IV.

Mao Y, Van Auken K, Li D, Arighi CN, McQuilton P, Hayman GT, Tweedie S, Schaeffer ML, Laulederkind SJ, Wang SJ, Gobeill J, Ruch P, Luu AT, Kim JJ, Chiang JH, Chen YD, Yang CJ, Liu H, Zhu D, Li Y, Yu H, Emadzadeh E, Gonzalez G, Chen JM, Dai HJ, Lu Z.

Database (Oxford). 2014 Aug 25;2014. pii: bau086. doi: 10.1093/database/bau086. Print 2014.

11.

A framework for semisupervised feature generation and its applications in biomedical literature mining.

Li Y, Hu X, Lin H, Yang Z.

IEEE/ACM Trans Comput Biol Bioinform. 2011 Mar-Apr;8(2):294-307. doi: 10.1109/TCBB.2010.99.

PMID:
20876938
12.

Factors affecting the effectiveness of biomedical document indexing and retrieval based on terminologies.

Dinh D, Tamine L, Boubekeur F.

Artif Intell Med. 2013 Feb;57(2):155-67. doi: 10.1016/j.artmed.2012.08.006. Epub 2012 Oct 23.

PMID:
23092678
13.

Data-poor categorization and passage retrieval for gene ontology annotation in Swiss-Prot.

Ehrler F, Geissbühler A, Jimeno A, Ruch P.

BMC Bioinformatics. 2005;6 Suppl 1:S23. Epub 2005 May 24.

14.

Towards classifying species in systems biology papers using text mining.

Wei Q, Collier N.

BMC Res Notes. 2011 Feb 4;4:32. doi: 10.1186/1756-0500-4-32.

15.

GOAnnotator: linking protein GO annotations to evidence text.

Couto FM, Silva MJ, Lee V, Dimmer E, Camon E, Apweiler R, Kirsch H, Rebholz-Schuhmann D.

J Biomed Discov Collab. 2006 Dec 20;1:19.

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An automated procedure to identify biomedical articles that contain cancer-associated gene variants.

McDonald R, Scott Winters R, Ankuda CK, Murphy JA, Rogers AE, Pereira F, Greenblatt MS, White PS.

Hum Mutat. 2006 Sep;27(9):957-64.

PMID:
16865690
18.

Overview of BioCreAtIvE: critical assessment of information extraction for biology.

Hirschman L, Yeh A, Blaschke C, Valencia A.

BMC Bioinformatics. 2005;6 Suppl 1:S1. Epub 2005 May 24.

19.

Multi-dimensional classification of biomedical text: toward automated, practical provision of high-utility text to diverse users.

Shatkay H, Pan F, Rzhetsky A, Wilbur WJ.

Bioinformatics. 2008 Sep 15;24(18):2086-93. doi: 10.1093/bioinformatics/btn381. Epub 2008 Aug 20.

20.

Closing the loop: from paper to protein annotation using supervised Gene Ontology classification.

Gobeill J, Pasche E, Vishnyakova D, Ruch P.

Database (Oxford). 2014 Sep 4;2014. pii: bau088. doi: 10.1093/database/bau088. Print 2014.

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