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Items: 1 to 20 of 208

1.

Getting more out of biomedical documents with GATE's full lifecycle open source text analytics.

Cunningham H, Tablan V, Roberts A, Bontcheva K.

PLoS Comput Biol. 2013;9(2):e1002854. doi: 10.1371/journal.pcbi.1002854. Epub 2013 Feb 7.

2.

Text mining.

Clegg AB, Shepherd AJ.

Methods Mol Biol. 2008;453:471-91. doi: 10.1007/978-1-60327-429-6_25.

PMID:
18712320
3.

Overview of the BioCreative III Workshop.

Arighi CN, Lu Z, Krallinger M, Cohen KB, Wilbur WJ, Valencia A, Hirschman L, Wu CH.

BMC Bioinformatics. 2011 Oct 3;12 Suppl 8:S1. doi: 10.1186/1471-2105-12-S8-S1.

4.

Extracting biomedical events from pairs of text entities.

Liu X, Bordes A, Grandvalet Y.

BMC Bioinformatics. 2015;16 Suppl 10:S8. doi: 10.1186/1471-2105-16-S10-S8. Epub 2015 Jul 13.

5.

Argo: an integrative, interactive, text mining-based workbench supporting curation.

Rak R, Rowley A, Black W, Ananiadou S.

Database (Oxford). 2012 Mar 20;2012:bas010. doi: 10.1093/database/bas010. Print 2012.

6.

Guidelines, editors, pharma and the biological paradigm shift.

Singh AR, Singh SA.

Mens Sana Monogr. 2007 Jan;5(1):27-30. doi: 10.4103/0973-1229.32176.

7.

A survey on annotation tools for the biomedical literature.

Neves M, Leser U.

Brief Bioinform. 2014 Mar;15(2):327-40. doi: 10.1093/bib/bbs084. Epub 2012 Dec 18. Review.

PMID:
23255168
8.

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
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.

Visual Analytics for MOOC Data.

Qu H, Chen Q.

IEEE Comput Graph Appl. 2015 Nov-Dec;35(6):69-75. doi: 10.1109/MCG.2015.137.

PMID:
26594957
11.

A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools.

Verspoor K, Cohen KB, Lanfranchi A, Warner C, Johnson HL, Roeder C, Choi JD, Funk C, Malenkiy Y, Eckert M, Xue N, Baumgartner WA Jr, Bada M, Palmer M, Hunter LE.

BMC Bioinformatics. 2012 Aug 17;13:207. doi: 10.1186/1471-2105-13-207.

12.

Text mining for traditional Chinese medical knowledge discovery: a survey.

Zhou X, Peng Y, Liu B.

J Biomed Inform. 2010 Aug;43(4):650-60. doi: 10.1016/j.jbi.2010.01.002. Epub 2010 Jan 13.

13.

Natural Language Processing methods and systems for biomedical ontology learning.

Liu K, Hogan WR, Crowley RS.

J Biomed Inform. 2011 Feb;44(1):163-79. doi: 10.1016/j.jbi.2010.07.006. Epub 2010 Jul 18. Review.

14.

Using text-mining techniques in electronic patient records to identify ADRs from medicine use.

Warrer P, Hansen EH, Juhl-Jensen L, Aagaard L.

Br J Clin Pharmacol. 2012 May;73(5):674-84. doi: 10.1111/j.1365-2125.2011.04153.x. Review.

15.

Automation of in-silico data analysis processes through workflow management systems.

Romano P.

Brief Bioinform. 2008 Jan;9(1):57-68. Epub 2007 Dec 2. Review.

PMID:
18056132
16.

An architecture for biological information extraction and representation.

Vailaya A, Bluvas P, Kincaid R, Kuchinsky A, Creech M, Adler A.

Bioinformatics. 2005 Feb 15;21(4):430-8. Epub 2004 Dec 17.

PMID:
15608051
17.

geneCBR: a translational tool for multiple-microarray analysis and integrative information retrieval for aiding diagnosis in cancer research.

Glez-Peña D, Díaz F, Hernández JM, Corchado JM, Fdez-Riverola F.

BMC Bioinformatics. 2009 Jun 18;10:187. doi: 10.1186/1471-2105-10-187.

18.

BioC interoperability track overview.

Comeau DC, Batista-Navarro RT, Dai HJ, Doğan RI, Yepes AJ, Khare R, Lu Z, Marques H, Mattingly CJ, Neves M, Peng Y, Rak R, Rinaldi F, Tsai RT, Verspoor K, Wiegers TC, Wu CH, Wilbur WJ.

Database (Oxford). 2014 Jun 30;2014. pii: bau053. doi: 10.1093/database/bau053. Print 2014. Review.

19.

ABNER: an open source tool for automatically tagging genes, proteins and other entity names in text.

Settles B.

Bioinformatics. 2005 Jul 15;21(14):3191-2. Epub 2005 Apr 28.

PMID:
15860559
20.

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.

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