Juliane Fluck
Juliane Fluck
ZB MED Information centre for Life Sciences
確認したメール アドレス: zbmed.de
Overview of BioCreative II gene normalization
AA Morgan, Z Lu, X Wang, AM Cohen, J Fluck, P Ruch, A Divoli, K Fundel, ...
Genome biology 9 (2), 1-19, 2008
ProMiner: rule-based protein and gene entity recognition
D Hanisch, K Fundel, HT Mevissen, R Zimmer, J Fluck
BMC bioinformatics 6 (1), 1-9, 2005
Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports
H Gurulingappa, AM Rajput, A Roberts, J Fluck, M Hofmann-Apitius, ...
Journal of biomedical informatics 45 (5), 885-892, 2012
Playing biology's name game: identifying protein names in scientific text
D Hanisch, J Fluck, HT Mevissen, R Zimmer
Biocomputing 2003, 403-414, 2002
Normal human primary fibroblasts undergo apoptosis in three-dimensional contractile collagen gels
J Fluck, C Querfeld, A Cremer, S Niland, T Krieg, S Sollberg
Journal of investigative dermatology 110 (2), 153-157, 1998
Detection of IUPAC and IUPAC-like chemical names
R Klinger, C Kolářik, J Fluck, M Hofmann-Apitius, CM Friedrich
Bioinformatics 24 (13), i268-i276, 2008
Microarrays: how many do you need?
A Zien, J Fluck, R Zimmer, T Lengauer
Journal of Computational biology 10 (3-4), 653-667, 2003
Contraction-dependent apoptosis of normal dermal fibroblasts
S Niland, A Cremer, J Fluck, T Krieg, S Sollberg, JA Eble
Journal of investigative dermatology 116 (5), 686-692, 2001
Chemical names: terminological resources and corpora annotation
C Kolárik, R Klinger, CM Friedrich, M Hofmann-Apitius, J Fluck
Workshop on Building and evaluating resources for biomedical text mining …, 2008
ProMiner: recognition of human gene and protein names using regularly updated dictionaries
J Fluck, HT Mevissen, H Dach, M Oster, M Hofmann-Apitius
Proceedings of the second BioCreative challenge evaluation workshop, 149-151, 2007
Identification of new drug classification terms in textual resources
C Kolářik, M Hofmann-Apitius, M Zimmermann, J Fluck
Bioinformatics 23 (13), i264-i272, 2007
An empirical evaluation of resources for the identification of diseases and adverse effects in biomedical literature
H Gurulingappa, R Klinger, M Hofmann-Apitius, J Fluck
2nd Workshop on Building and evaluating resources for biomedical text mining …, 2010
Named entity recognition with combinations of conditional random fields
R Klinger, CM Friedrich, J Fluck, M Hofmann-Apitius
Proceedings of the second biocreative challenge evaluation workshop 23, 89-91, 2007
Mining biomarker information in biomedical literature
E Younesi, L Toldo, B Müller, CM Friedrich, N Novac, A Scheer, ...
BMC medical informatics and decision making 12 (1), 1-13, 2012
The Autoimmune Disease Database: a dynamically compiled literature-derived database
T Karopka, J Fluck, HT Mevissen, Ä Glass
BMC bioinformatics 7 (1), 1-17, 2006
Text mining for systems biology
J Fluck, M Hofmann-Apitius
Drug discovery today 19 (2), 140-144, 2014
Identification of adverse drug event assertive sentences in medical case reports
H Gurulingappa, J Fluck, M Hofmann-Apitius, L Toldo
First international workshop on knowledge discovery and health care …, 2011
Biomedical and Chemical Named Entity Recognition with Conditional Random Fields: The Advantage of Dictionary Features.
CM Friedrich, T Revillion, M Hofmann, J Fluck
SMBM, 2006
Overview of the interactive task in BioCreative V
Q Wang, S S Abdul, L Almeida, S Ananiadou, YI Balderas-Martínez, ...
Database 2016, 2016
Knowledge environments representing molecular entities for the virtual physiological human
M Hofmann-Apitius, J Fluck, L Furlong, O Fornes, C Kolářik, S Hanser, ...
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2008
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