Clemens Kreutz

According to our database, Clemens Kreutz authored at least 24 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Rcall: An R interface for MATLAB.

Janine Egert, Clemens Kreutz

SoftwareX, February, 2023

Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models.

Christian Tönsing, Bernhard Steiert, Jens Timmer, Clemens Kreutz

PLoS Comput. Biol., 2023

A statistical approach to latent dynamic modeling with differential equations.

Maren Hackenberg, Astrid Pechmann, Clemens Kreutz, Janbernd Kirschner, Harald Binder

CoRR, 2023

2021

PEtab - Interoperable specification of parameter estimation problems in systems biology.

Leonard Schmiester, Yannik Schälte, Frank T. Bergmann, Tacio Camba, Erika Dudkin, Janine Egert, Fabian Fröhlich, Lara Fuhrmann, Adrian L. Hauber, Svenja Kemmer, Polina A. Lakrisenko, Carolin Loos, Simon Merkt, Wolfgang Müller, Dilan Pathirana, Elba Raimúndez-Álvarez, Lukas Refisch, Marcus Rosenblatt, Paul Stapor, Philipp Städter, Dantong Wang, Franz-Georg Wieland, Julio R. Banga, Jens Timmer, Alejandro F. Villaverde, Sven Sahle, Clemens Kreutz, Jan Hasenauer, Daniel Weindl

PLoS Comput. Biol., 2021

Rcall: Calling R from Matlab.

Janine Egert, Clemens Kreutz

CoRR, 2021

2020

Using Differentiable Programming for Flexible Statistical Modeling.

Maren Hackenberg, Marlon Grodd, Clemens Kreutz, Martina Fischer, Janina Esins, Linus Grabenhenrich, Christian Karagiannidis, Harald Binder

CoRR, 2020

A Blind and Independent Benchmark Study for Detecting Differentially Methylated Regions in Plants.

Clemens Kreutz, Nilay S. Can, Ralf Schulze Bruening, Rabea Meyberg, Zsuzsanna Mérai, Noé Fernández-Pozo, Stefan A. Rensing

Bioinform., 2020

2019

Guidelines for benchmarking of optimization approaches for fitting mathematical models.

Clemens Kreutz

CoRR, 2019

Benchmark problems for dynamic modeling of intracellular processes.

Helge Hass, Carolin Loos, Elba Raimúndez-Álvarez, Jens Timmer, Jan Hasenauer, Clemens Kreutz

Bioinform., 2019

2018

An easy and efficient approach for testing identifiability.

Clemens Kreutz

Bioinform., 2018

2016

Identification of Cell Type-Specific Differences in Erythropoietin Receptor Signaling in Primary Erythroid and Lung Cancer Cells.

Ruth Merkle, Bernhard Steiert, Florian Salopiata, Sofia Depner, Andreas Raue, Nao Iwamoto, Max Schelker, Helge Hass, Marvin Wäsch, Martin E. Böhm, Oliver Mücke, Daniel B. Lipka, Christoph Plass, Wolf D. Lehmann, Clemens Kreutz, Jens Timmer, Marcel Schilling, Ursula Klingmüller

PLoS Comput. Biol., 2016

<i>L</i>₁ regularization facilitates detection of cell type-specific parameters in dynamical systems.

Bernhard Steiert, Jens Timmer, Clemens Kreutz

Bioinform., 2016

Fast integration-based prediction bands for ordinary differential equation models.

Helge Hass, Clemens Kreutz, Jens Timmer, Daniel Kaschek

Bioinform., 2016

2015

Summary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models.

Jonathan R. Karr, Alex H. Williams, Jeremy D. Zucker, Andreas Raue, Bernhard Steiert, Jens Timmer, Clemens Kreutz, Simon Wilkinson, Brandon A. Allgood, Brian M. Bot, Bruce R. Hoff, Michael R. Kellen, Markus W. Covert, Gustavo A. Stolovitzky, Pablo Meyer

PLoS Comput. Biol., 2015

Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems.

Andreas Raue, Bernhard Steiert, Max Schelker, Clemens Kreutz, Tim Maiwald, Helge Hass, Joep Vanlier, Christian Tönsing, Lorenz Adlung, Raphael Engesser, Wolfgang Mader, Tim Heinemann, Jan Hasenauer, Marcel Schilling, Thomas Höfer, Edda Klipp, Fabian J. Theis, Ursula Klingmüller, Birgit Schoeberl, Jens Timmer

Bioinform., 2015

2014

Network topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approach.

Pablo Meyer, Thomas Cokelaer, Deepak Chandran, Kyung Hyuk Kim, Po-Ru Loh, George Tucker, Mark Lipson, Bonnie Berger, Clemens Kreutz, Andreas Raue, Bernhard Steiert, Jens Timmer, Erhan Bilal, Herbert M. Sauro, Gustavo Stolovitzky, Julio Saez-Rodriguez

BMC Syst. Biol., 2014

2012

Likelihood based observability analysis and confidence intervals for predictions of dynamic models.

Clemens Kreutz, Andreas Raue, Jens Timmer

BMC Syst. Biol., 2012

Comprehensive estimation of input signals and dynamics in biochemical reaction networks.

Max Schelker, Andreas Raue, Jens Timmer, Clemens Kreutz

Bioinform., 2012

TSSi - an R package for transcription start site identification from 5′ mRNA tag data.

Clemens Kreutz, J. S. Gehring, Daniel Lang, Ralf Reski, Jens Timmer, Stefan A. Rensing

Bioinform., 2012

2009

Estimation of Gene Induction Enables a Relevance-Based Ranking of Gene Sets.

Kilian Bartholomé, Clemens Kreutz, Jens Timmer

J. Comput. Biol., 2009

Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood.

Andreas Raue, Clemens Kreutz, Thomas Maiwald, Julie Bachmann, Marcel Schilling, Ursula Klingmüller, Jens Timmer

Bioinform., 2009

2007

An error model for protein quantification.

Clemens Kreutz, M. M. Bartolome Rodriguez, Thomas Maiwald, Maxmilian Seidl, H. E. Blum, L. Mohr, Jens Timmer

Bioinform., 2007

Data-based identifiability analysis of non-linear dynamical models.

Stefan Hengl, Clemens Kreutz, Jens Timmer, Thomas Maiwald

Bioinform., 2007

2003

Controlling the Continuos Positive Airway Pressure-Device Using Partial Observable Markov Decision Processes.

Clemens Kreutz, Josef Honerkamp

Proceedings of the Modeling, 2003