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Items: 1 to 20 of 102

1.

Learning string similarity measures for gene/protein name dictionary look-up using logistic regression.

Tsuruoka Y, McNaught J, Tsujii J, Ananiadou S.

Bioinformatics. 2007 Oct 15;23(20):2768-74.

2.
3.

Recognizing names in biomedical texts: a machine learning approach.

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

Bioinformatics. 2004 May 1;20(7):1178-90.

4.

Normalizing biomedical terms by minimizing ambiguity and variability.

Tsuruoka Y, McNaught J, Ananiadou S.

BMC Bioinformatics. 2008 Apr 11;9 Suppl 3:S2. doi: 10.1186/1471-2105-9-S3-S2.

5.

Improving the performance of dictionary-based approaches in protein name recognition.

Tsuruoka Y, Tsujii J.

J Biomed Inform. 2004 Dec;37(6):461-70.

6.

Gene name ambiguity of eukaryotic nomenclatures.

Chen L, Liu H, Friedman C.

Bioinformatics. 2005 Jan 15;21(2):248-56.

7.

Two learning approaches for protein name extraction.

Tatar S, Cicekli I.

J Biomed Inform. 2009 Dec;42(6):1046-55. doi: 10.1016/j.jbi.2009.05.004.

8.

Discriminative application of string similarity methods to chemical and non-chemical names for biomedical abbreviation clustering.

Yamaguchi A, Yamamoto Y, Kim JD, Takagi T, Yonezawa A.

BMC Genomics. 2012 Jun 11;13 Suppl 3:S8. doi: 10.1186/1471-2164-13-S3-S8.

9.

A probabilistic model for identifying protein names and their name boundaries.

Seki K, Mostafa J.

Proc IEEE Comput Soc Bioinform Conf. 2003;2:251-8.

PMID:
16452800
10.
11.

GPSDB: a new database for synonyms expansion of gene and protein names.

Pillet V, Zehnder M, Seewald AK, Veuthey AL, Petrak J.

Bioinformatics. 2005 Apr 15;21(8):1743-4.

12.

Evaluation of techniques for increasing recall in a dictionary approach to gene and protein name identification.

Schuemie MJ, Mons B, Weeber M, Kors JA.

J Biomed Inform. 2007 Jun;40(3):316-24.

13.

AZuRE, a scalable system for automated term disambiguation of gene and protein names.

Podowski RM, Cleary JG, Goncharoff NT, Amoutzias G, Hayes WS.

Proc IEEE Comput Syst Bioinform Conf. 2004:415-24.

PMID:
16448034
14.

GAPSCORE: finding gene and protein names one word at a time.

Chang JT, Sch├╝tze H, Altman RB.

Bioinformatics. 2004 Jan 22;20(2):216-25.

15.

Using name-internal and contextual features to classify biological terms.

Torii M, Kamboj S, Vijay-Shanker K.

J Biomed Inform. 2004 Dec;37(6):498-511.

16.

Automatic extension of Gene Ontology with flexible identification of candidate terms.

Lee JB, Kim JJ, Park JC.

Bioinformatics. 2006 Mar 15;22(6):665-70.

17.

EBIMed--text crunching to gather facts for proteins from Medline.

Rebholz-Schuhmann D, Kirsch H, Arregui M, Gaudan S, Riethoven M, Stoehr P.

Bioinformatics. 2007 Jan 15;23(2):e237-44.

18.

Gene and protein nomenclature in public databases.

Fundel K, Zimmer R.

BMC Bioinformatics. 2006 Aug 9;7:372.

19.

Protein names precisely peeled off free text.

Mika S, Rost B.

Bioinformatics. 2004 Aug 4;20 Suppl 1:i241-7.

20.

A modular framework for biomedical concept recognition.

Campos D, Matos S, Oliveira JL.

BMC Bioinformatics. 2013 Sep 24;14:281. doi: 10.1186/1471-2105-14-281.

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