Publications

Michał Patryk Miazga, Daniel Abitz, Matthias Täschner, und Erhard Rahm. Automated Configuration of Schema Matching Tools: A Reinforcement Learning Approach. Datenbanksysteme für Business, Technologie und Web (BTW 2025), 331--354, Gesellschaft für Informatik, Bonn, 2025. [PUMA: topic_lifescience xack yaff]

Kristina Vogel, Johanna Moeller, Nina G. Bozhanova, Markus Voehler, Anja Penk, Jens Meiler, und Clara T. Schoeder. Computational Engineering of siderocalin to modulate its binding affinity to the antihypertension drug candesartan. Journal of Structural Biology, (217)1:108180, 2025. [PUMA: topic_lifescience xack yaff] URL

Marie-Sophie von Braun, Kristin Starke, Lucas Peter, Daniel Kürsten, Florian Welle, Hans Ralf Schneider, Max Wawrzyniak, Daniel P O Kaiser, Gordian Prasse, Cindy Richter, Elias Kellner, Marco Reisert, Julian Klingbeil, Anika Stockert, Karl-Titus Hoffmann, Gerik Scheuermann, Christina Gillmann, und Dorothee Saur. Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning. In Masud Husain (Hrsg.), Brain, awaf013, Januar 2025. [PUMA: biomarker cdss cnn computer_vision deep_learning neuroimaging neurology nopdf topic_lifescience xack yaff] URL

Maximilian Joas, Daniel Freund, Robert Haase, Erhard Rahm, und Jan Ewald. Zero-Shot, Big-Shot, Active-Shot - How to estimate cell confluence, lazily. bioRxiv, Cold Spring Harbor Laboratory, 2025. [PUMA: topic_lifescience xack yaff] URL

Maximilian Joas, Neringa Jurenaite, Dusan Prascevic, Nico Scherf, und Jan Ewald. A generalized and versatile framework to train and evaluate autoencoders for biological representation learning and beyond: AUTOENCODIX. bioRxiv, Cold Spring Harbor Laboratory, Dezember 2024. [PUMA: topic_lifescience xack] URL

Sahar Vahdati, Deepankan Bharathi Nagaraj, Maximilian Bryan, Sobhan Moazemi, Sabine Gründer-Fahrer, und Michael Martin. Utilizing transformers on OCT imagery and metadata for treatment response prediction in macular edema patients. Lecture Notes in Computer Science, 3--15, Springer Nature Switzerland, Cham, 2023. [PUMA: OCT Xack edema macular prediction response topic_lifescience transformers treatment]

Bernhard Vogginger, Amirhossein Rostami, Vaibhav Jain, Sirine Arfa, Andreas Hantsch, David Kappel, Michael Schäfer, Ulrike Faltings, Hector A. Gonzalez, Chen Liu, und Christian Mayr. Neuromorphic hardware for sustainable AI data centers. Zenodo, 2024. [PUMA: AI Neuromorphic area_responsibleai centers data hardware sustainable topic_lifescience xack] URL

Robert Haase. Towards Transparency and Knowledge Exchange in AI- assisted Data Analysis Code Generation. Zenodo, Oktober 2024. [PUMA: topic_language topic_lifescience unit_transfer xack] URL

Abhinav Singh, Philipp H. Suhrcke, Pietro Incardona, und Ivo F. Sbalzarini. A numerical solver for active hydrodynamics in three dimensions and its application to active turbulence. Physics of fluids, (35)10American Institute of Physics, 01.10.2023. [PUMA: FIS_scads imported topic_lifescience xack yaff]

Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F Sbalzarini, und Christian L. Müller. Stability selection enables robust learning of differential equations from limited noisy data. Proceedings of the Royal Society of London : Series A, Mathematical, physical and engineering sciences, (478)2262Royal Society Publishing, Juni 2022. [PUMA: FIS_scads topic_lifescience xack]

Suryanarayana Maddu, Quentin Vagne, und Ivo F. Sbalzarini. Learning deterministic hydrodynamic equations from stochastic active particle dynamics. 21.01.2022. [PUMA: FIS_scads topic_lifescience xack yaff]

Suryanarayana Maddu, Dominik Sturm, Bevan L. Cheeseman, Christian L. Müller, und Ivo F. Sbalzarini. STENCIL-NET for equation-free forecasting from data. Scientific reports, (13)1Nature Publishing Group, Dezember 2023. [PUMA: FIS_scads imported topic_lifescience xack yaff]

Ali Al-Fatlawi, Michael Schroeder, und A Francis Stewart. The Rad52 SSAP superfamily and new insight into homologous recombination. Communications biology, (6)1Springer Nature, 23.01.2023. [PUMA: topic_lifescience xack yaff]

Ali Al-Fatlawi, Martin Menzel, und Michael Schroeder. Is Protein BLAST a thing of the past?. Nature communications, (14)1Nature Publishing Group, 11.12.2023. [PUMA: topic_lifescience xack yaff]

Ali Al-Fatlawi, Eka Rusadze, Alexander Shmelkin, Negin Malekian, Cigdem Ozen, Christian Pilarsky, und Michael Schroeder. Netrank: network-based approach for biomarker discovery. BMC bioinformatics, (24)1BioMed Central, London, 29.07.2023. [PUMA: topic_lifescience xack yaff]

Aryaman Gupta, Ulrik Günther, Pietro Incardona, Guido Reina, Steffen Frey, Stefan Gumhold, und Ivo F. Sbalzarini. Efficient Raycasting of View-Dependent Piecewise Constant Representations of Volumetric Data. 17.06.2022. [PUMA: FIS_scads Human-centered Visualization Visualization, and computing, concepts paradigms, techniques theory, topic_lifescience topic_visualcomputing xack]

Fabian Liessmann, Lukas von Bredow, Jens Meiler, und rahm Liebscher, Ines. Targeting adhesion G protein-coupled receptors. Current status and future perspectives. Structure, Elsevier, November 2024. [PUMA: ADGRG1; ADGRG2; ADGRG3; ADGRG5; ADGRG6; ADGRG7; GPCRs; GPR114; GPR126; GPR128; GPR56; GPR64; GPR97; adhesion area_bigdata discovery; drug ep ligands; molecules; small structure topic_lifescience xack yaff]

Chiara Molinari, Leonardo Solaini, Francesca Rebuzzi, Gianluca Tedaldi, Davide Angeli, Elisabetta Petracci, Dusan Prascevic, Jan Ewald, Erhard Rahm, Matteo Canale, und others. Genomic events stratifying prognosis of early gastric cancer. Gastric Cancer, 1--12, Springer, 2024. [PUMA: area_bigdata ep imported topic_lifescience xack yaff]

Moritz Ertelt, Vikram Khipple Mulligan, Jack B. Maguire, Sergey Lyskov, Rocco Moretti, Torben Schiffner, Jens Meiler, und Clara T. Schoeder. Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins. In Joanna Slusky (Hrsg.), PLOS Computational Biology, (20)3:e1011939, Public Library of Science (PLoS), März 2024. [PUMA: imported topic_lifescience xack yaff] URL

Shan Jiang, Zhaoqian Su, Nathaniel Bloodworth, Yunchao Liu, Cristina Martina, David G. Harrison, und Jens Meiler. Machine learning application to predict binding affinity between peptide containing non-canonical amino acids and HLA0201. Cold Spring Harbor Laboratory, November 2024. [PUMA: imported topic_lifescience xack yaff] URL