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2020 – today
- 2025
[j3]Tobias Bernecker, Ghalia Rehawi, Francesco Paolo Casale, Janine Knauer-Arloth, Annalisa Marsico:
Random Walk Diffusion for Efficient Large-Scale Graph Generation. Trans. Mach. Learn. Res. 2025 (2025)- 2024
- [j2]Jonas Hagenberg, Monika Budde, Teodora Pandeva, Ivan Kondofersky, Sabrina K. Schaupp, Fabian J. Theis, Thomas G. Schulze, Nikola S. Müller, Urs Heilbronner, Richa Batra, Janine Knauer-Arloth:
longmixr: a tool for robust clustering of high-dimensional cross-sectional and longitudinal variables of mixed data types. Bioinform. 40(4) (2024) - [i1]Tobias Bernecker, Ghalia Rehawi, Francesco Paolo Casale, Janine Knauer-Arloth, Annalisa Marsico:
Random Walk Diffusion for Efficient Large-Scale Graph Generation. CoRR abs/2408.04461 (2024) - 2020
- [j1]Janine Arloth
, Gökcen Eraslan, Till F. M. Andlauer, Jade Martins, Stella Iurato, Brigitte Kühnel, Melanie Waldenberger, Josef Frank, Ralf Gold, Bernhard Hemmer, Felix Luessi, Sandra Nischwitz, Friedemann Paul, Heinz Wiendl, Christian Gieger, Stefanie Heilmann-Heimbach, Tim Kacprowski, Matthias Laudes, Thomas Meitinger, Annette Peters, Rajesh Rawal, Konstantin Strauch, Susanne Lucae, Bertram Müller-Myhsok, Marcella Rietschel, Fabian J. Theis, Elisabeth B. Binder, Nikola S. Müller:
DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning. PLoS Comput. Biol. 16(2) (2020)
Coauthor Index
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