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Items: 1 to 20 of 111

1.

A mutation-centric approach to identifying pharmacogenomic relations in text.

Rance B, Doughty E, Demner-Fushman D, Kann MG, Bodenreider O.

J Biomed Inform. 2012 Oct;45(5):835-41. doi: 10.1016/j.jbi.2012.05.003. Epub 2012 Jun 7.

2.

Using PharmGKB to train text mining approaches for identifying potential gene targets for pharmacogenomic studies.

Pakhomov S, McInnes BT, Lamba J, Liu Y, Melton GB, Ghodke Y, Bhise N, Lamba V, Birnbaum AK.

J Biomed Inform. 2012 Oct;45(5):862-9. doi: 10.1016/j.jbi.2012.04.007. Epub 2012 May 4.

3.

DiMeX: A Text Mining System for Mutation-Disease Association Extraction.

Mahmood AS, Wu TJ, Mazumder R, Vijay-Shanker K.

PLoS One. 2016 Apr 13;11(4):e0152725. doi: 10.1371/journal.pone.0152725. eCollection 2016.

4.

A SNPshot of PubMed to associate genetic variants with drugs, diseases, and adverse reactions.

Hakenberg J, Voronov D, Nguyên VH, Liang S, Anwar S, Lumpkin B, Leaman R, Tari L, Baral C.

J Biomed Inform. 2012 Oct;45(5):842-50. doi: 10.1016/j.jbi.2012.04.006. Epub 2012 Apr 30.

5.

Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full text.

Garten Y, Altman RB.

BMC Bioinformatics. 2009 Feb 5;10 Suppl 2:S6. doi: 10.1186/1471-2105-10-S2-S6.

6.

Extraction of human kinase mutations from literature, databases and genotyping studies.

Krallinger M, Izarzugaza JM, Rodriguez-Penagos C, Valencia A.

BMC Bioinformatics. 2009 Aug 27;10 Suppl 8:S1. doi: 10.1186/1471-2105-10-S8-S1.

7.

Relation mining experiments in the pharmacogenomics domain.

Rinaldi F, Schneider G, Clematide S.

J Biomed Inform. 2012 Oct;45(5):851-61. doi: 10.1016/j.jbi.2012.04.014. Epub 2012 May 10.

8.

A knowledge-driven conditional approach to extract pharmacogenomics specific drug-gene relationships from free text.

Xu R, Wang Q.

J Biomed Inform. 2012 Oct;45(5):827-34. doi: 10.1016/j.jbi.2012.04.011. Epub 2012 Apr 27.

9.

Text Mining Genotype-Phenotype Relationships from Biomedical Literature for Database Curation and Precision Medicine.

Singhal A, Simmons M, Lu Z.

PLoS Comput Biol. 2016 Nov 30;12(11):e1005017. doi: 10.1371/journal.pcbi.1005017. eCollection 2016 Nov.

10.

Text mining facilitates database curation - extraction of mutation-disease associations from Bio-medical literature.

Ravikumar KE, Wagholikar KB, Li D, Kocher JP, Liu H.

BMC Bioinformatics. 2015 Jun 6;16:185. doi: 10.1186/s12859-015-0609-x. Erratum in: BMC Bioinformatics. 2016;17(1):162.

11.

Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research.

Bravo À, Piñero J, Queralt-Rosinach N, Rautschka M, Furlong LI.

BMC Bioinformatics. 2015 Feb 21;16:55. doi: 10.1186/s12859-015-0472-9.

12.

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
13.
14.

Managing the data deluge: data-driven GO category assignment improves while complexity of functional annotation increases.

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

Database (Oxford). 2013 Jul 9;2013:bat041. doi: 10.1093/database/bat041. Print 2013.

15.

Targeted journal curation as a method to improve data currency at the Comparative Toxicogenomics Database.

Davis AP, Johnson RJ, Lennon-Hopkins K, Sciaky D, Rosenstein MC, Wiegers TC, Mattingly CJ.

Database (Oxford). 2012 Dec 6;2012:bas051. doi: 10.1093/database/bas051. Print 2012.

16.

miRTex: A Text Mining System for miRNA-Gene Relation Extraction.

Li G, Ross KE, Arighi CN, Peng Y, Wu CH, Vijay-Shanker K.

PLoS Comput Biol. 2015 Sep 25;11(9):e1004391. doi: 10.1371/journal.pcbi.1004391. eCollection 2015.

17.

Learning the Structure of Biomedical Relationships from Unstructured Text.

Percha B, Altman RB.

PLoS Comput Biol. 2015 Jul 28;11(7):e1004216. doi: 10.1371/journal.pcbi.1004216. eCollection 2015 Jul.

18.

Ranking gene-drug relationships in biomedical literature using Latent Dirichlet Allocation.

Wu Y, Liu M, Zheng WJ, Zhao Z, Xu H.

Pac Symp Biocomput. 2012:422-33.

19.

Wide-coverage relation extraction from MEDLINE using deep syntax.

Nguyen NT, Miwa M, Tsuruoka Y, Chikayama T, Tojo S.

BMC Bioinformatics. 2015 Apr 1;16:107. doi: 10.1186/s12859-015-0538-8.

20.

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