Leonard Schmiester

6PUBLICATIONS
155CO-AUTHORS
Predictive and prognostic markersMathematical aspects of classical mechanics, quantum mechanics and quantum information theorySimulation, modelling, and programming of mechatronics systemsData mining and knowledge discoveryEconomic models and forecasting
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Publications (6)

|Jun 26, 2024
Computational Model Predicts Patient Outcomes in Luminal B Breast Cancer Treated with Endocrine Therapy and CDK4/6 Inhibition.

Leonard Schmiester, Fara Brasó-Maristany, Blanca González-Farré

|Nov 23, 2023
pyPESTO: a modular and scalable tool for parameter estimation for dynamic models.

Yannik Schälte, Fabian Fröhlich, Paul J Jost

|Jan 11, 2022
Mini-batch optimization enables training of ODE models on large-scale datasets.

Paul Stapor, Leonard Schmiester, Christoph Wierling

|Oct 19, 2021
COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms.

Marek Ostaszewski, Anna Niarakis, Alexander Mazein

|Jul 14, 2021
Efficient gradient-based parameter estimation for dynamic models using qualitative data.

Leonard Schmiester, Daniel Weindl, Jan Hasenauer

|Jan 26, 2021
PEtab-Interoperable specification of parameter estimation problems in systems biology.

Leonard Schmiester, Yannik Schälte, Frank T Bergmann

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Frequent Collaborators

5 joint publications

Jan Hasenauer

4 joint publications

Daniel Weindl

2 joint publications

Yannik Schälte

2 joint publications

Paul Stapor