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Items: 33

1.

The extraction of complex relationships and their conversion to biological expression language (BEL) overview of the BioCreative VI (2017) BEL track.

Madan S, Szostak J, Komandur Elayavilli R, Tsai RT, Ali M, Qian L, Rastegar-Mojarad M, Hoeng J, Fluck J.

Database (Oxford). 2019 Jan 1;2019. pii: baz084. doi: 10.1093/database/baz084.

2.

SEAweb: the small RNA Expression Atlas web application.

Rahman RU, Liebhoff AM, Bansal V, Fiosins M, Rajput A, Sattar A, Magruder DS, Madan S, Sun T, Gautam A, Heins S, Liwinski T, Bethune J, Trenkwalder C, Fluck J, Mollenhauer B, Bonn S.

Nucleic Acids Res. 2019 Oct 10. pii: gkz869. doi: 10.1093/nar/gkz869. [Epub ahead of print]

PMID:
31598718
3.

Investigating the Comparability of Two Multi-Item-Scales for Cyber Bullying Measurement.

Fluck J.

Int J Environ Res Public Health. 2018 Oct 25;15(11). pii: E2356. doi: 10.3390/ijerph15112356.

4.

The BEL information extraction workflow (BELIEF): evaluation in the BioCreative V BEL and IAT track.

Madan S, Hodapp S, Senger P, Ansari S, Szostak J, Hoeng J, Peitsch M, Fluck J.

Database (Oxford). 2016 Oct 2;2016. pii: baw136. Print 2016.

5.

Overview of the interactive task in BioCreative V.

Wang Q, S Abdul S, Almeida L, Ananiadou S, Balderas-Martínez YI, Batista-Navarro R, Campos D, Chilton L, Chou HJ, Contreras G, Cooper L, Dai HJ, Ferrell B, Fluck J, Gama-Castro S, George N, Gkoutos G, Irin AK, Jensen LJ, Jimenez S, Jue TR, Keseler I, Madan S, Matos S, McQuilton P, Milacic M, Mort M, Natarajan J, Pafilis E, Pereira E, Rao S, Rinaldi F, Rothfels K, Salgado D, Silva RM, Singh O, Stefancsik R, Su CH, Subramani S, Tadepally HD, Tsaprouni L, Vasilevsky N, Wang X, Chatr-Aryamontri A, Laulederkind SJ, Matis-Mitchell S, McEntyre J, Orchard S, Pundir S, Rodriguez-Esteban R, Van Auken K, Lu Z, Schaeffer M, Wu CH, Hirschman L, Arighi CN.

Database (Oxford). 2016 Sep 1;2016. pii: baw119. doi: 10.1093/database/baw119. Print 2016.

6.

Training and evaluation corpora for the extraction of causal relationships encoded in biological expression language (BEL).

Fluck J, Madan S, Ansari S, Kodamullil AT, Karki R, Rastegar-Mojarad M, Catlett NL, Hayes W, Szostak J, Hoeng J, Peitsch M.

Database (Oxford). 2016 Aug 23;2016. pii: baw113. doi: 10.1093/database/baw113. Print 2016.

7.

BioCreative V track 4: a shared task for the extraction of causal network information using the Biological Expression Language.

Rinaldi F, Ellendorff TR, Madan S, Clematide S, van der Lek A, Mevissen T, Fluck J.

Database (Oxford). 2016 Jul 9;2016. pii: baw067. doi: 10.1093/database/baw067. Print 2016.

8.

Towards a Pathway Inventory of the Human Brain for Modeling Disease Mechanisms Underlying Neurodegeneration.

Iyappan A, Gündel M, Shahid M, Wang J, Li H, Mevissen HT, Müller B, Fluck J, Jirsa V, Domide L, Younesi E, Hofmann-Apitius M.

J Alzheimers Dis. 2016 Apr 12;52(4):1343-60. doi: 10.3233/JAD-151178.

PMID:
27079715
9.

Construction of biological networks from unstructured information based on a semi-automated curation workflow.

Szostak J, Ansari S, Madan S, Fluck J, Talikka M, Iskandar A, De Leon H, Hofmann-Apitius M, Peitsch MC, Hoeng J.

Database (Oxford). 2015 Jun 17;2015:bav057. doi: 10.1093/database/bav057.

10.

Detecting miRNA Mentions and Relations in Biomedical Literature.

Bagewadi S, Bobić T, Hofmann-Apitius M, Fluck J, Klinger R.

Version 3. F1000Res. 2014 Aug 28 [revised 2015 Jan 1];3:205. doi: 10.12688/f1000research.4591.3. eCollection 2014.

11.

Text mining for systems biology.

Fluck J, Hofmann-Apitius M.

Drug Discov Today. 2014 Feb;19(2):140-4. doi: 10.1016/j.drudis.2013.09.012. Epub 2013 Sep 23. Review.

PMID:
24070668
12.

Mining biomarker information in biomedical literature.

Younesi E, Toldo L, Müller B, Friedrich CM, Novac N, Scheer A, Hofmann-Apitius M, Fluck J.

BMC Med Inform Decis Mak. 2012 Dec 18;12:148. doi: 10.1186/1472-6947-12-148.

13.

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
14.

Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports.

Gurulingappa H, Rajput AM, Roberts A, Fluck J, Hofmann-Apitius M, Toldo L.

J Biomed Inform. 2012 Oct;45(5):885-92. doi: 10.1016/j.jbi.2012.04.008. Epub 2012 Apr 25.

15.

Concept-based semi-automatic classification of drugs.

Gurulingappa H, Kolárik C, Hofmann-Apitius M, Fluck J.

J Chem Inf Model. 2009 Aug;49(8):1986-92. doi: 10.1021/ci9000844.

PMID:
19663460
16.

Overview of BioCreative II gene normalization.

Morgan AA, Lu Z, Wang X, Cohen AM, Fluck J, Ruch P, Divoli A, Fundel K, Leaman R, Hakenberg J, Sun C, Liu HH, Torres R, Krauthammer M, Lau WW, Liu H, Hsu CN, Schuemie M, Cohen KB, Hirschman L.

Genome Biol. 2008;9 Suppl 2:S3. doi: 10.1186/gb-2008-9-s2-s3. Epub 2008 Sep 1.

17.

Detection of IUPAC and IUPAC-like chemical names.

Klinger R, Kolárik C, Fluck J, Hofmann-Apitius M, Friedrich CM.

Bioinformatics. 2008 Jul 1;24(13):i268-76. doi: 10.1093/bioinformatics/btn181.

18.

Knowledge environments representing molecular entities for the virtual physiological human.

Hofmann-Apitius M, Fluck J, Furlong L, Fornes O, Kolárik C, Hanser S, Boeker M, Schulz S, Sanz F, Klinger R, Mevissen T, Gattermayer T, Oliva B, Friedrich CM.

Philos Trans A Math Phys Eng Sci. 2008 Sep 13;366(1878):3091-110. doi: 10.1098/rsta.2008.0099.

PMID:
18559317
19.

Identifying gene-specific variations in biomedical text.

Klinger R, Friedrich CM, Mevissen HT, Fluck J, Hofmann-Apitius M, Furlong LI, Sanz F.

J Bioinform Comput Biol. 2007 Dec;5(6):1277-96.

PMID:
18172929
20.

Identification of new drug classification terms in textual resources.

Kolárik C, Hofmann-Apitius M, Zimmermann M, Fluck J.

Bioinformatics. 2007 Jul 1;23(13):i264-72.

PMID:
17646305
21.

The Autoimmune Disease Database: a dynamically compiled literature-derived database.

Karopka T, Fluck J, Mevissen HT, Glass A.

BMC Bioinformatics. 2006 Jun 27;7:325.

22.

Autocrine proliferating B cells are susceptible to terminal differentiation and apoptosis.

Fluck J, Schachtschneider S, Abken H.

Cell Death Differ. 1997 Dec;4(8):824-33.

23.

Information extraction technologies for the life science industry.

Fluck J, Zimmermann M, Kurapkat G, Hofmann M.

Drug Discov Today Technol. 2005 Autumn;2(3):217-24. doi: 10.1016/j.ddtec.2005.08.013.

PMID:
24981939
24.

Information extraction in the life sciences: perspectives for medicinal chemistry, pharmacology and toxicology.

Zimmermann M, Fluck J, Thi le TB, Kolárik C, Kumpf K, Hofmann M.

Curr Top Med Chem. 2005;5(8):785-96. Review.

PMID:
16101418
25.

ProMiner: rule-based protein and gene entity recognition.

Hanisch D, Fundel K, Mevissen HT, Zimmer R, Fluck J.

BMC Bioinformatics. 2005;6 Suppl 1:S14. Epub 2005 May 24.

26.

Microarrays: how many do you need?

Zien A, Fluck J, Zimmer R, Lengauer T.

J Comput Biol. 2003;10(3-4):653-67.

PMID:
12935350
27.

Playing biology's name game: identifying protein names in scientific text.

Hanisch D, Fluck J, Mevissen HT, Zimmer R.

Pac Symp Biocomput. 2003:403-14.

28.

Contraction-dependent apoptosis of normal dermal fibroblasts.

Niland S, Cremer A, Fluck J, Eble JA, Krieg T, Sollberg S.

J Invest Dermatol. 2001 May;116(5):686-92.

29.

Normal human primary fibroblasts undergo apoptosis in three-dimensional contractile collagen gels.

Fluck J, Querfeld C, Cremer A, Niland S, Krieg T, Sollberg S.

J Invest Dermatol. 1998 Feb;110(2):153-7.

30.
32.

Implementation of an amplification system to assist the hearing impaired in a university setting.

Hawkins DB, Fluck JF, Van Meter SL.

ASHA. 1982 Apr;24(4):263-7. No abstract available.

PMID:
7104065
33.

[1st clinical experiences and experimental follow-up analysis of a new "medium tranquilizer" (Mesoridazin) in internal medicine].

Wanner J, Flück J.

Praxis. 1966 Dec 1;55(48):1398-401. German. No abstract available.

PMID:
6013642

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