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Deep Learning Approaches Outperform Conventional Strategies in De-Identification of German Medical Reports.

, , , and . GMDS, volume 267 of Studies in Health Technology and Informatics, page 101-109. IOS Press, (2019)

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Detecting Functional Modules of Transcription Factor Binding Sites in the Human Genome., , and . Regulatory Genomics, volume 3318 of Lecture Notes in Computer Science, page 14-21. Springer, (2004)Developments in CORG: a gene-centric comparative genomics resource., , and . Nucleic Acids Res., 35 (Database-Issue): 32-35 (2007)Characterizing alternative splicing effects on protein interaction networks with LINDA., , and . Bioinform., 39 (Supplement-1): 458-464 (2023)On the optimal design of metabolic RNA labeling experiments., , and . PLoS Comput. Biol., (2019)Suboptimal Local Alignments Across Multiple Scoring Schemes., , and . WABI, volume 3240 of Lecture Notes in Computer Science, page 99-110. Springer, (2004)A comparison of metabolic labeling and statistical methods to infer genome-wide dynamics of RNA turnover., , , and . Briefings Bioinform., (2021)DoRiNA 2.0 - upgrading the doRiNA database of RNA interactions in post-transcriptional regulation., , , , , and . Nucleic Acids Res., 43 (Database-Issue): 160-167 (2015)Preliminary Analysis of Structured Reporting in the HiGHmed Use Case Cardiology: Challenges and Measures., , , , , and . GMDS, volume 278 of Studies in Health Technology and Informatics, page 187-194. IOS Press, (2020)Insights into the FAIRness of the German Network University Medicine: A Survey., , , , , , , , , and . MIE, volume 302 of Studies in Health Technology and Informatics, page 741-742. IOS Press, (2023)pulseR: Versatile computational analysis of RNA turnover from metabolic labeling experiments., and . Bioinform., 33 (20): 3305-3307 (2017)