1,721,086 research outputs found
Identification of Histone Modifications in Biomedical Text for Supporting Epigenomic Research
Full text linkCorinna K, Klinger R, Hofmann-Apitius M. Identification of Histone Modifications in Biomedical Text for Supporting Epigenomic Research. BMC Bioinformatics. 2009;10(Suppl 1):S28
Corrigendum: The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling
No full textArt. 436, 1 S.A Corrigendum on The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling by Mubeen, S., Hoyt, C. T., Gemünd, A., Hofmann-Apitius, M., Fröhlich, H., and Domingo-Fernández, D. (2019). Front. Genet. 10:1203. doi: 10.3389/fgene.2019.01203 In the original article, the correspondence email was incorrect. The correct one should be [email protected]. The authors apologize for the error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.1
Detection of IUPAC and IUPAC-like Chemical Names
No full textKlinger R, Kolarik C, Fluck J, Hofmann-Apitius M, Friedrich CM. Detection of IUPAC and IUPAC-like Chemical Names. Bioinformatics. 2008;24(13):i268-i276
Knowledge Environments Representing Molecular Entities for the Virtual Physiological Human
No full textHofmann-Apitius M, Fluck J, Furlong L, et al. Knowledge Environments Representing Molecular Entities for the Virtual Physiological Human. Philosophical Transactions of the Royal Society A. 2008;366(1878):3091-3110
Named Entity Recognition with Combinations of Conditional Random Fields
Full text linkKlinger R, Friedrich CM, Fluck J, Hofmann-Apitius M. Named Entity Recognition with Combinations of Conditional Random Fields. In: Proceedings of the Second BioCreative Challenge Evaluation Workshop. Madrid, Spain; 2007: 89-91
Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers
Full text linkThomas PE, Klinger R, Furlong LI, Hofmann-Apitius M, Friedrich CM. Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers. BMC Bioinformatics. 2011;12(Suppl 4): S4
Chemical Names: Terminological Resources and Corpora Annotation
Full text linkKolarik C, Klinger R, Friedrich CM, Hofmann-Apitius M, Fluck J. Chemical Names: Terminological Resources and Corpora Annotation. In: Workshop on Building and evaluating resources for biomedical text mining (6th edition of the Language Resources and Evaluation Conference). Marrakech, Morocco; 2008: 51-58
Improving Distantly Supervised Extraction of Drug-Drug and Protein-Protein Interactions
No full textBobic T, Klinger R, Thomas P, Hofmann-Apitius M. Improving Distantly Supervised Extraction of Drug-Drug and Protein-Protein Interactions. In: Proceedings of the Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP. Avignon, France: Association for Computational Linguistics; 2012: 35-43
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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