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Similar articles for PubMed (Select 23434632)

1.

Biological network extraction from scientific literature: state of the art and challenges.

Li C, Liakata M, Rebholz-Schuhmann D.

Brief Bioinform. 2014 Sep;15(5):856-77. doi: 10.1093/bib/bbt006. Epub 2013 Feb 22.

PMID:
23434632
2.

Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).

Foffi G, Pastore A, Piazza F, Temussi PA.

Phys Biol. 2013 Aug 2;10(4):040301. [Epub ahead of print]

PMID:
23912807
3.

Extraction of semantic biomedical relations from text using conditional random fields.

Bundschus M, Dejori M, Stetter M, Tresp V, Kriegel HP.

BMC Bioinformatics. 2008 Apr 23;9:207. doi: 10.1186/1471-2105-9-207.

4.

Finding biomarkers in non-model species: literature mining of transcription factors involved in bovine embryo development.

Turenne N, Tiys E, Ivanisenko V, Yudin N, Ignatieva E, Valour D, Degrelle SA, Hue I.

BioData Min. 2012 Aug 29;5(1):12. doi: 10.1186/1756-0381-5-12.

5.

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.

6.

A comprehensive benchmark of kernel methods to extract protein-protein interactions from literature.

Tikk D, Thomas P, Palaga P, Hakenberg J, Leser U.

PLoS Comput Biol. 2010 Jul 1;6:e1000837. doi: 10.1371/journal.pcbi.1000837.

7.

Evaluation of text-mining systems for biology: overview of the Second BioCreative community challenge.

Krallinger M, Morgan A, Smith L, Leitner F, Tanabe L, Wilbur J, Hirschman L, Valencia A.

Genome Biol. 2008;9 Suppl 2:S1. doi: 10.1186/gb-2008-9-s2-s1. Epub 2008 Sep 1.

8.

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(1):55. [Epub ahead of print]

9.

Construction of phosphorylation interaction networks by text mining of full-length articles using the eFIP system.

Tudor CO, Ross KE, Li G, Vijay-Shanker K, Wu CH, Arighi CN.

Database (Oxford). 2015 Mar 31;2015. pii: bav020. doi: 10.1093/database/bav020. Print 2015.

10.

Text mining for metabolic pathways, signaling cascades, and protein networks.

Hoffmann R, Krallinger M, Andres E, Tamames J, Blaschke C, Valencia A.

Sci STKE. 2005 May 10;2005(283):pe21. Review.

PMID:
15886388
11.

MINT and IntAct contribute to the Second BioCreative challenge: serving the text-mining community with high quality molecular interaction data.

Chatr-aryamontri A, Kerrien S, Khadake J, Orchard S, Ceol A, Licata L, Castagnoli L, Costa S, Derow C, Huntley R, Aranda B, Leroy C, Thorneycroft D, Apweiler R, Cesareni G, Hermjakob H.

Genome Biol. 2008;9 Suppl 2:S5. doi: 10.1186/gb-2008-9-s2-s5. Epub 2008 Sep 1.

12.

Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks.

Daraselia N, Yuryev A, Egorov S, Mazo I, Ispolatov I.

BMC Bioinformatics. 2007 Jul 10;8:243.

13.

TrigNER: automatically optimized biomedical event trigger recognition on scientific documents.

Campos D, Bui QC, Matos S, Oliveira JL.

Source Code Biol Med. 2014 Jan 8;9(1):1. doi: 10.1186/1751-0473-9-1.

14.

The potential of text mining in data integration and network biology for plant research: a case study on Arabidopsis.

Van Landeghem S, De Bodt S, Drebert ZJ, Inzé D, Van de Peer Y.

Plant Cell. 2013 Mar;25(3):794-807. doi: 10.1105/tpc.112.108753. Epub 2013 Mar 26.

15.

Mining of relations between proteins over biomedical scientific literature using a deep-linguistic approach.

Rinaldi F, Schneider G, Kaljurand K, Hess M, Andronis C, Konstandi O, Persidis A.

Artif Intell Med. 2007 Feb;39(2):127-36. Epub 2006 Oct 18.

PMID:
17052900
16.

Large-scale event extraction from literature with multi-level gene normalization.

Van Landeghem S, Björne J, Wei CH, Hakala K, Pyysalo S, Ananiadou S, Kao HY, Lu Z, Salakoski T, Van de Peer Y, Ginter F.

PLoS One. 2013 Apr 17;8(4):e55814. doi: 10.1371/journal.pone.0055814. Print 2013.

17.

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
18.

PALM-IST: Pathway Assembly from Literature Mining - an Information Search Tool.

Mandloi S, Chakrabarti S.

Sci Rep. 2015 May 19;5:10021. doi: 10.1038/srep10021.

PMID:
25989388
19.

Event-based text mining for biology and functional genomics.

Ananiadou S, Thompson P, Nawaz R, McNaught J, Kell DB.

Brief Funct Genomics. 2015 May;14(3):213-30. doi: 10.1093/bfgp/elu015. Epub 2014 Jun 6.

20.

ANDSystem: an Associative Network Discovery System for automated literature mining in the field of biology.

Ivanisenko VA, Saik OV, Ivanisenko NV, Tiys ES, Ivanisenko TV, Demenkov PS, Kolchanov NA.

BMC Syst Biol. 2015;9 Suppl 2:S2. doi: 10.1186/1752-0509-9-S2-S2. Epub 2015 Apr 15.

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