Publications

Patrick Ebel, Florian Brokhausen, and Andreas Vogelsang. The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective. 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 141–150, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: experience in-vehicle information interview study systems user] URL

Thomas W Winkler, Felix Grassmann, Caroline Brandl, Christina Kiel, Felix Günther, Tobias Strunz, Lorraine Weidner, Martina E Zimmermann, Christina A Korb, Alicia Poplawski, Alexander K Schuster, Martina Müller-Nurasyid, Annette Peters, Franziska G Rauscher, Tobias Elze, Katrin Horn, Markus Scholz, Marisa Cañadas-Garre, Amy Jayne McKnight, Nicola Quinn, Ruth E Hogg, Helmut Küchenhoff, Iris M Heid, Klaus J Stark, and Bernhard H F Weber. Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease. BMC Med. Genomics, (13)1:120, Springer Science and Business Media LLC, August 2020. [PUMA: (AMD); (GWAS); (IAMDGC); (UKBB) AMD AMD; Age-related Automated CD46; Early Genome-wide International Machine-learning; Meta-analysis; TYR; UK association biobank consortium degeneration genomics macular phenotyping; study]

Janne Pott, Valentin Schlegel, Andrej Teren, Katrin Horn, Holger Kirsten, Christina Bluecher, Juergen Kratzsch, Markus Loeffler, Joachim Thiery, Ralph Burkhardt, and Markus Scholz. Genetic regulation of PCSK9 (proprotein convertase subtilisin/Kexin type 9) plasma levels and its impact on atherosclerotic vascular disease phenotypes. Circ. Genom. Precis. Med., (11)5:e001992, Ovid Technologies (Wolters Kluwer Health), May 2018. [PUMA: association atherosclerosis; genome-wide study]

Ali Al-Fatlawi, Negin Malekian, Sebastián Garc\'ıa, Andreas Henschel, Ilwook Kim, Andreas Dahl, Beatrix Jahnke, Peter Bailey, Sarah Naomi Bolz, Anna R Poetsch, Sandra Mahler, Robert Grützmann, Christian Pilarsky, and Michael Schroeder. Deep learning improves pancreatic cancer diagnosis using RNA-based variants. Cancers (Basel), (13)11:2654, MDPI AG, May 2021. [PUMA: association cancer; chronic deep learning; pancreatic pancreatitis; study topic_lifescience transcriptome-wide]