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Items: 1 to 20 of 108

1.

Recent progress in automatically extracting information from the pharmacogenomic literature.

Garten Y, Coulet A, Altman RB.

Pharmacogenomics. 2010 Oct;11(10):1467-89. doi: 10.2217/pgs.10.136. Review.

2.

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.

3.

How to learn about gene function: text-mining or ontologies?

Soldatos TG, Perdigão N, Brown NP, Sabir KS, O'Donoghue SI.

Methods. 2015 Mar;74:3-15. doi: 10.1016/j.ymeth.2014.07.004. Epub 2014 Aug 1. Review.

PMID:
25088781
4.

Mining the pharmacogenomics literature--a survey of the state of the art.

Hahn U, Cohen KB, Garten Y, Shah NH.

Brief Bioinform. 2012 Jul;13(4):460-94. doi: 10.1093/bib/bbs018.

5.
6.

Text-based knowledge discovery: search and mining of life-sciences documents.

Mack R, Hehenberger M.

Drug Discov Today. 2002 Jun 1;7(11):S89-98. Review. Erratum in: Drug Discov Today. 2002 Sep;7(17):889.

PMID:
12047886
7.

Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery.

Gonzalez GH, Tahsin T, Goodale BC, Greene AC, Greene CS.

Brief Bioinform. 2016 Jan;17(1):33-42. doi: 10.1093/bib/bbv087. Epub 2015 Sep 29. Review.

8.

Text mining in livestock animal science: introducing the potential of text mining to animal sciences.

Sahadevan S, Hofmann-Apitius M, Schellander K, Tesfaye D, Fluck J, Friedrich CM.

J Anim Sci. 2012 Oct;90(10):3666-76. doi: 10.2527/jas.2011-4841. Epub 2012 Jun 4.

PMID:
22665627
9.

Analysis of biological processes and diseases using text mining approaches.

Krallinger M, Leitner F, Valencia A.

Methods Mol Biol. 2010;593:341-82. doi: 10.1007/978-1-60327-194-3_16. Review.

PMID:
19957157
10.

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.

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.

12.

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.

13.

Facts from text: can text mining help to scale-up high-quality manual curation of gene products with ontologies?

Winnenburg R, Wächter T, Plake C, Doms A, Schroeder M.

Brief Bioinform. 2008 Nov;9(6):466-78. doi: 10.1093/bib/bbn043. Epub 2008 Dec 6. Review.

PMID:
19060303
14.

Literature mining for the biologist: from information retrieval to biological discovery.

Jensen LJ, Saric J, Bork P.

Nat Rev Genet. 2006 Feb;7(2):119-29. Review.

PMID:
16418747
15.

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.

16.

Text-mining solutions for biomedical research: enabling integrative biology.

Rebholz-Schuhmann D, Oellrich A, Hoehndorf R.

Nat Rev Genet. 2012 Dec;13(12):829-39. doi: 10.1038/nrg3337. Epub 2012 Nov 14. Review.

PMID:
23150036
17.

Teaching computers to read the pharmacogenomics literature ... so you don't have to.

Garten Y, Altman RB.

Pharmacogenomics. 2010 Apr;11(4):515-8. doi: 10.2217/pgs.10.48. No abstract available.

18.
19.

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.

20.

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

Garten Y, Tatonetti NP, Altman RB.

Pac Symp Biocomput. 2010:305-14.

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