Michael P. H. Stumpf
According to our database1, Michael P. H. Stumpf authored at least 28 papers between 2005 and 2018.
Legend:Book In proceedings Article PhD thesis Other
PEITH(Θ): perfecting experiments with information theory in Python with GPU support.
Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation.
BMC Systems Biology, 2016
MEANS: python package for Moment Expansion Approximation, iNference and Simulation.
Great cities look small.
SYSBIONS: nested sampling for systems biology.
Model Selection in Systems Biology Depends on Experimental Design.
PLoS Computational Biology, 2014
Derivative processes for modelling metabolic fluxes.
StochDecomp - Matlab package for noise decomposition in stochastic biochemical systems.
On Industrial Strength Bio-design Automation.
Proceedings of the Information and Communication Technologies in Education, Research, and Industrial Applications, 2014
Maximizing the Information Content of Experiments in Systems Biology.
PLoS Computational Biology, 2013
Balancing the Robustness and Predictive Performance of Biomarkers.
Journal of Computational Biology, 2013
Considerate approaches to constructing summary statistics for ABC model selection.
Statistics and Computing, 2012
Inference of temporally varying Bayesian Networks.
StochSens - matlab package for sensitivity analysis of stochastic chemical systems.
Which species is it? Species-driven gene name disambiguation using random walks over a mixture of adjacency matrices.
From qualitative data to quantitative models: analysis of the phage shock protein stress response in Escherichia coli.
BMC Systems Biology, 2011
GPU accelerated biochemical network simulation.
Statistical inference of the time-varying structure of gene-regulation networks.
BMC Systems Biology, 2010
Trees on networks: resolving statistical patterns of phylogenetic similarities among interacting proteins.
BMC Bioinformatics, 2010
Simulation-based model selection for dynamical systems in systems and population biology.
ABC-SysBio - approximate Bayesian computation in Python with GPU support.
Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data.
Nonidentifiability of the Source of Intrinsic Noise in Gene Expression from Single-Burst Data.
PLoS Computational Biology, 2008
Using Likelihood-Free Inference to Compare Evolutionary Dynamics of the Protein Networks of H. pylori and P. falciparum.
PLoS Computational Biology, 2007
SNPSTR: a database of compound microsatellite-SNP markers.
Nucleic Acids Research, 2007
Generating confidence intervals on biological networks.
BMC Bioinformatics, 2007
Multi-model inference of network properties from incomplete data.
J. Integrative Bioinformatics, 2006
Statistical Model Selection Methods Applied to Biological Networks.