Clemens Kreutz

发表

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

Ursula Klingmüller, Jens Timmer, Marcel Schilling, 2009, Bioinform..

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

Jens Timmer, Daniel Lang, Ralf Reski, 2012, Bioinform..

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

Jens Timmer, Pablo Meyer, Bernhard Steiert, 2015, PLoS Comput. Biol..

An easy and efficient approach for testing identifiability

Clemens Kreutz, 2018, Bioinform..

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

Jens Timmer, Andreas Raue, Clemens Kreutz, 2011, BMC Systems Biology.

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

Jens Timmer, Clemens Kreutz, Kilian Bartholomé, 2009, J. Comput. Biol..

Correction: Lessons Learned from Quantitative Dynamical Modeling in Systems Biology

Fabian J. Theis, Ursula Klingmüller, Jens Timmer, 2013, PLoS ONE.

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

Ursula Klingmüller, Jens Timmer, Marcel Schilling, 2016, PLoS Comput. Biol..

Fast integration-based prediction bands for ordinary differential equation models

Jens Timmer, Daniel Kaschek, Clemens Kreutz, 2016, Bioinform..

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

Clemens Kreutz, Josef Honerkamp, J. Honerkamp, 2003, HPSC.

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

Fabian J. Theis, Edda Klipp, Ursula Klingmüller, 2015, Bioinform..

Profile likelihood-based analyses of infectious disease models

Jens Timmer, Clemens Kreutz, Christian Tönsing, 2018, Statistical methods in medical research.

Data-based identifiability analysis of non-linear dynamical models

Jens Timmer, Clemens Kreutz, Thomas Maiwald, 2007, Bioinform..

An error model for protein quantification

Jens Timmer, Clemens Kreutz, Thomas Maiwald, 2007, Bioinform..

L1 regularization facilitates detection of cell type-specific parameters in dynamical systems

Jens Timmer, Bernhard Steiert, Clemens Kreutz, 2016, Bioinform..

Computational processing and error reduction strategies for standardized quantitative data in biological networks

Sebastian Bohl, Ursula Klingmüller, Jens Timmer, 2005, The FEBS journal.

A two-dimensional bootstrap approach to model discrimination

Jens Timmer, Rickard Johansson, Gunnar Cedersund, 2013 .

Comprehensive estimation of input signals and dynamics in biochemical reaction networks

Jens Timmer, Andreas Raue, Clemens Kreutz, 2012, Bioinform..

Driving the Model to Its Limit: Profile Likelihood Based Model Reduction

Jens Timmer, Daniel Kaschek, Bernhard Steiert, 2016, PloS one.

Profile likelihood in systems biology

Jens Timmer, Daniel Kaschek, Clemens Kreutz, 2013, The FEBS journal.

Dynamic Pathway Modeling

Sebastian Bohl, Ursula Klingmüller, Jens Timmer, 2007, Annals of the New York Academy of Sciences.

Rcall: Calling R from Matlab pdf

Clemens Kreutz, Janine Egert, 2021, ArXiv.

Using Differentiable Programming for Flexible Statistical Modeling pdf

Harald Binder, Clemens Kreutz, Maren Hackenberg, 2021, The American Statistician.

Using High-density Snp Arrays Genome-wide Analysis of Dna Copy Number Changes and Loh in Cll

Jens Timmer, Clemens Kreutz, Hendrik Veelken, 2022 .

Resolving the Combinatorial Complexity of Smad Protein Complex Formation and Its Link to Gene Expression.

Ursula Klingmüller, Jens Timmer, Marcel Schilling, 2017, Cell systems.

presence of non-identifiability methodology: a study for inference in the Joining forces of Bayesian and frequentist

Fabian J. Theis, Jens Timmer, Clemens Kreutz, 2013 .

Transcription factors ETF, E2F, and SP‐1 are involved in cytokine‐independent proliferation of murine hepatocytes

Jens Timmer, Reinhard Guthke, Clemens Kreutz, 2010, Hepatology.

Cause and cure of sloppiness in ordinary differential equation models.

Jens Timmer, Clemens Kreutz, Christian Tönsing, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Theoretical and experimental analysis links isoform- specific ERK signalling to cell fate decisions

Ursula Klingmüller, Jens Timmer, Marcel Schilling, 2009, Molecular systems biology.