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Items: 1 to 20 of 119

1.

Exploring the boundaries: gene and protein identification in biomedical text.

Finkel J, Dingare S, Manning CD, Nissim M, Alex B, Grover C.

BMC Bioinformatics. 2005;6 Suppl 1:S5. Epub 2005 May 24.

2.

Recognition of protein/gene names from text using an ensemble of classifiers.

Zhou G, Shen D, Zhang J, Su J, Tan S.

BMC Bioinformatics. 2005;6 Suppl 1:S7. Epub 2005 May 24.

3.

Cascaded classifiers for confidence-based chemical named entity recognition.

Corbett P, Copestake A.

BMC Bioinformatics. 2008 Nov 19;9 Suppl 11:S4. doi: 10.1186/1471-2105-9-S11-S4.

4.

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

Ehrler F, Geissb├╝hler A, Jimeno A, Ruch P.

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

5.

What makes a gene name? Named entity recognition in the biomedical literature.

Leser U, Hakenberg J.

Brief Bioinform. 2005 Dec;6(4):357-69.

PMID:
16420734
6.

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
7.

Text detective: a rule-based system for gene annotation in biomedical texts.

Tamames J.

BMC Bioinformatics. 2005;6 Suppl 1:S10. Epub 2005 May 24.

8.

An evaluation of GO annotation retrieval for BioCreAtIvE and GOA.

Camon EB, Barrell DG, Dimmer EC, Lee V, Magrane M, Maslen J, Binns D, Apweiler R.

BMC Bioinformatics. 2005;6 Suppl 1:S17. Epub 2005 May 24.

9.
10.

A sentence sliding window approach to extract protein annotations from biomedical articles.

Krallinger M, Padron M, Valencia A.

BMC Bioinformatics. 2005;6 Suppl 1:S19. Epub 2005 May 24.

11.

Incorporating rich background knowledge for gene named entity classification and recognition.

Li Y, Lin H, Yang Z.

BMC Bioinformatics. 2009 Jul 17;10:223. doi: 10.1186/1471-2105-10-223.

12.

Comparative experiments on learning information extractors for proteins and their interactions.

Bunescu R, Ge R, Kate RJ, Marcotte EM, Mooney RJ, Ramani AK, Wong YW.

Artif Intell Med. 2005 Feb;33(2):139-55.

PMID:
15811782
13.

Tagging gene and protein names in biomedical text.

Tanabe L, Wilbur WJ.

Bioinformatics. 2002 Aug;18(8):1124-32.

PMID:
12176836
14.

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.

15.

Automated recognition of malignancy mentions in biomedical literature.

Jin Y, McDonald RT, Lerman K, Mandel MA, Carroll S, Liberman MY, Pereira FC, Winters RS, White PS.

BMC Bioinformatics. 2006 Nov 7;7:492.

16.

Enhancing HMM-based biomedical named entity recognition by studying special phenomena.

Zhang J, Shen D, Zhou G, Su J, Tan CL.

J Biomed Inform. 2004 Dec;37(6):411-22.

17.

Text-mining approaches in molecular biology and biomedicine.

Krallinger M, Erhardt RA, Valencia A.

Drug Discov Today. 2005 Mar 15;10(6):439-45. Review.

PMID:
15808823
18.

BIOSMILE: a semantic role labeling system for biomedical verbs using a maximum-entropy model with automatically generated template features.

Tsai RT, Chou WC, Su YS, Lin YC, Sung CL, Dai HJ, Yeh IT, Ku W, Sung TY, Hsu WL.

BMC Bioinformatics. 2007 Sep 1;8:325.

19.

Distribution of information in biomedical abstracts and full-text publications.

Schuemie MJ, Weeber M, Schijvenaars BJ, van Mulligen EM, van der Eijk CC, Jelier R, Mons B, Kors JA.

Bioinformatics. 2004 Nov 1;20(16):2597-604. Epub 2004 May 6.

PMID:
15130936
20.

A system for identifying named entities in biomedical text: how results from two evaluations reflect on both the system and the evaluations.

Dingare S, Nissim M, Finkel J, Manning C, Grover C.

Comp Funct Genomics. 2005;6(1-2):77-85. doi: 10.1002/cfg.457.

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