- Life and Medical Sciences Institute (LIMES)
- Systems Medicine
- Systems Biology
- Mathematical Modelling
- Machine Learning
Stapor P, Schmiester L, Wierling C, Merkt S, Pathirana D, Lange BMH, Weindl D, Hasenauer J (2022) Mini-batch optimization enables training of ODE models on large-scale datasets. Nat Comm 13:34.
Fröhlich F, Kessler T, Weindl D, Shadrin A, Schmiester L, Hache H, Muradyan A, Schütte M, Lim J-H, Heinig M, Theis FJ, Lehrach H, Wierling C, Lange B, Hasenauer J (2018) Efficient parameter estimation enables the prediction of drug response using a mechanistic pan-cancer pathway model. Cell Syst 7:567-579.e6.
Loos C, Moeller K, Fröhlich F, Hucho T, Hasenauer J (2018) A hierarchical, data-driven approach to modeling single-cell populations predicts latent causes of cell-to-cell variability. Cell Syst 6593-603.e13.
Jagiella N, Rickert D, Theis FJ, Hasenauer J (2017) Parallelization and high-performance computing enables automated statistical inference of multiscale models. Cell Syst 4:194-206.
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