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Items: 1 to 20 of 168

1.

A semi-supervised approach to extract pharmacogenomics-specific drug-gene pairs from biomedical literature for personalized medicine.

Xu R, Wang Q.

J Biomed Inform. 2013 Aug;46(4):585-93. doi: 10.1016/j.jbi.2013.04.001. Epub 2013 Apr 6.

2.

An iterative searching and ranking algorithm for prioritising pharmacogenomics genes.

Xu R, Wang Q.

Int J Comput Biol Drug Des. 2013;6(1-2):18-31. doi: 10.1504/IJCBDD.2013.052199. Epub 2013 Feb 21.

PMID:
23428471
3.

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.

4.

Toward creation of a cancer drug toxicity knowledge base: automatically extracting cancer drug-side effect relationships from the literature.

Xu R, Wang Q.

J Am Med Inform Assoc. 2014 Jan-Feb;21(1):90-6. doi: 10.1136/amiajnl-2012-001584. Epub 2013 May 18.

5.

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.

6.
7.

Large-scale extraction of accurate drug-disease treatment pairs from biomedical literature for drug repurposing.

Xu R, Wang Q.

BMC Bioinformatics. 2013 Jun 6;14:181. doi: 10.1186/1471-2105-14-181.

8.
9.

Automatic construction of a large-scale and accurate drug-side-effect association knowledge base from biomedical literature.

Xu R, Wang Q.

J Biomed Inform. 2014 Oct;51:191-9. doi: 10.1016/j.jbi.2014.05.013. Epub 2014 Jun 10.

10.

Using text to build semantic networks for pharmacogenomics.

Coulet A, Shah NH, Garten Y, Musen M, Altman RB.

J Biomed Inform. 2010 Dec;43(6):1009-19. doi: 10.1016/j.jbi.2010.08.005. Epub 2010 Aug 17.

11.

Systematic identification of pharmacogenomics information from clinical trials.

Li J, Lu Z.

J Biomed Inform. 2012 Oct;45(5):870-8. doi: 10.1016/j.jbi.2012.04.005. Epub 2012 Apr 24.

13.

Large-scale automatic extraction of side effects associated with targeted anticancer drugs from full-text oncological articles.

Xu R, Wang Q.

J Biomed Inform. 2015 Jun;55:64-72. doi: 10.1016/j.jbi.2015.03.009. Epub 2015 Mar 27.

14.

Improving the prediction of pharmacogenes using text-derived drug-gene relationships.

Garten Y, Tatonetti NP, Altman RB.

Pac Symp Biocomput. 2010:305-14.

16.

Preemptive genotyping for personalized medicine: design of the right drug, right dose, right time-using genomic data to individualize treatment protocol.

Bielinski SJ, Olson JE, Pathak J, Weinshilboum RM, Wang L, Lyke KJ, Ryu E, Targonski PV, Van Norstrand MD, Hathcock MA, Takahashi PY, McCormick JB, Johnson KJ, Maschke KJ, Rohrer Vitek CR, Ellingson MS, Wieben ED, Farrugia G, Morrisette JA, Kruckeberg KJ, Bruflat JK, Peterson LM, Blommel JH, Skierka JM, Ferber MJ, Black JL, Baudhuin LM, Klee EW, Ross JL, Veldhuizen TL, Schultz CG, Caraballo PJ, Freimuth RR, Chute CG, Kullo IJ.

Mayo Clin Proc. 2014 Jan;89(1):25-33. doi: 10.1016/j.mayocp.2013.10.021.

17.

An unsupervised text mining method for relation extraction from biomedical literature.

Quan C, Wang M, Ren F.

PLoS One. 2014 Jul 18;9(7):e102039. doi: 10.1371/journal.pone.0102039. eCollection 2014.

18.

dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text.

Xu R, Li L, Wang Q.

BMC Bioinformatics. 2014 Apr 12;15:105. doi: 10.1186/1471-2105-15-105.

19.

Usability evaluation of pharmacogenomics clinical decision support aids and clinical knowledge resources in a computerized provider order entry system: a mixed methods approach.

Devine EB, Lee CJ, Overby CL, Abernethy N, McCune J, Smith JW, Tarczy-Hornoch P.

Int J Med Inform. 2014 Jul;83(7):473-83. doi: 10.1016/j.ijmedinf.2014.04.008. Epub 2014 May 9.

20.

Pharmacogenomics, evidence, and the role of payers.

Deverka PA.

Public Health Genomics. 2009;12(3):149-57. doi: 10.1159/000189627. Epub 2009 Feb 10.

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