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Automated generation of mechanistic models for chemical process digital twins using reinforcement learning part II: Compartmentalization and learning-based recalibration2025 Computers & Chemical Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Jan-Frederic Laub, Jiyizhe Zhang, Mathis Heyer, Alexei A. Lapkin
8citations -
SwarmMAP: swarm learning for decentralized cell type annotation in single cell sequencing data2026 npj Systems Biology and Applications article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Oliver Lester Saldanha, Vivien Goepp, Hyojin Kim, Jie Fu Zhu, Rafael Kramann, Sikander Hayat, +1 more
1citations -
SwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing Data2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Oliver Lester Saldanha, Vivien Goepp, Hyojin Kim, Jie Ping Zhu, Rafael Kramann, Sikander Hayat, +1 more
1citations -
Fear, Behaviour, and the COVID-19 Pandemic: A City-Scale Agent-Based Model Using Socio-Demographic and Spatial Map Data2022 Journal of Artificial Societies and Social Simulation article Mathematics COVID-19 epidemiological studies Open access
Carl Orge Retzlaff, Laura Burbach, Lilian Kojan, Patrick Halbach, Johannes Nakayama, Martina Ziefle, +1 more
14citations -
Transfer learning efficiently maps bone marrow cell types from mouse to human using single-cell RNA sequencing2020 Communications Biology article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access cited by 1 patent
Patrick S. Stumpf, Haruka Imanishi, Yuya Kunisaki, Yuichiro Semba, Timothy J. Noble, Rosanna C. G. Smith, +8 more
38citations -
scDecorr - Feature decorrelation representation learning with domain adaptation enables self-supervised alignment of multiple single-cell experiments0citations
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scDecorr: feature decorrelation based representation learning enables self-supervised alignment of multiple single-cell experiments2026 Scientific Reports article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Ritabrata Sanyal, Yang Xu, Hyojin Kim, Rafael Kramann, Sikander Hayat
0citations -
SpatialCOC: an integrative framework for spatial continuous mapping and cross-omics correction in spatial multi-omics data2026 Nature Communications article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Mingxuan Li, Peisen Sun, Yisi Luo, Guancheng Zhou, Xiaofei Yang, Deyu Meng, +1 more
1citations -
Upscaling Net Ecosystem Exchange Over Heterogeneous Landscapes With Machine Learning2021 Geo-Leo e-docs (Deutsche Initiative für Netzwerkinformation) article Environmental Science Plant Water Relations and Carbon Dynamics Open access
Oliver Reitz, Alexander Graf, Marius Schmidt, Gunnar Ketzler, Michael Leuchner
50citations -
Identification of kidney cell types in scRNA-seq and snRNA-seq data using machine learning algorithms2024 Heliyon article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Adam Tisch, Siddharth Madapoosi, Stephen R. Blough, Jan Rosa, Sean F. Eddy, Laura H. Mariani, +9 more
3citations