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Bioinformatics (Oxford, England)|May 16, 2018
pyABC: distributed, likelihood-free inferenceEmmanuel Klinger, Dennis Rickert, Jan Hasenauer
Iscience|October 23, 2023
Posterior marginalization accelerates Bayesian inference for dynamical models of biological processesElba Raimúndez, Michael Fedders, Jan Hasenauer
Bioinformatics (Oxford, England)|June 29, 2018
Optimization and profile calculation of ODE models using second order adjoint sensitivity analysisPaul Stapor, Fabian Fröhlich, Jan Hasenauer
Bioinformatics (Oxford, England)|June 9, 2016
MIA: non-targeted mass isotopolome analysisDaniel Weindl, Andre Wegner, Karsten Hiller
Methods in Enzymology|September 12, 2015
Non-targeted Tracer Fate DetectionDaniel Weindl, André Wegner, Karsten Hiller
Bioinformatics (Oxford, England)|September 9, 2017
A scalable moment-closure approximation for large-scale biochemical reaction networksAtefeh Kazeroonian, Fabian J Theis, Jan Hasenauer
Cell Communication and Signaling : CCS|May 21, 2013
Complexity of dopamine metabolismJohannes Meiser, Daniel Weindl, Karsten Hiller
Nature Methods|December 4, 2025
C-COMPASS: a user-friendly neural network tool profiles cell compartments at protein and lipid levelsDaniel T Haas, Daniel Weindl, Pamela Kakimoto, et al.
Scientific Reports|March 1, 2019
Comparison of null models for combination drug therapy reveals Hand model as biochemically most plausibleMark Sinzger, Jakob Vanhoefer, Carolin Loos, et al.
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