162 citations · 253 across the 11 of their papers we have counts for
5 papers · 1 filter
Stochastic reaction networks in dynamic compartment populations
Lorenzo Duso, Christoph Zechner
Compartmentalization of biochemical processes underlies all biological systems, from the organelle to the tissue scale. Theoretical models to study the interplay between noisy reac…
Parameter inference method for stochastic single-cell dynamics from tree-structured data
Irena Kuzmanovska, Andreas Milias-Argeitis, Christoph Zechner +1
With the advance of experimental techniques such as time-lapse fluorescence microscopy, the availability of single-cell trajectory data has vastly increased, and so has the demand…
Uncoupled Analysis of Stochastic Reaction Networks in Fluctuating Environments
Christoph Zechner, Heinz Koeppl
The dynamics of stochastic reaction networks within cells are inevitably modulated by factors considered extrinsic to the network such as for instance the fluctuations in ribsome c…
Sparse Learning of Markovian Population Models in Random Environments
Christoph Zechner, Federico Wadehn, Heinz Koeppl
Markovian population models are suitable abstractions to describe well-mixed interacting particle systems in situation where stochastic fluctuations are significant due to the invo…
Pooling single-cell recordings: Scalable inference through heterogeneous kinetics
Christoph Zechner, Michael Unger, Serge Pelet +2
Mathematical methods together with measurements of single-cell dynamics provide unprecedented means to reconstruct intracellular processes that are only partly or indirectly access…