35 citations · 72 across the 4 of their papers we have counts for
7 papers
A Stochastic Automata Network Description for Spatial DNA-Methylation Models
Alexander Lück, Verena Wolf
DNA methylation is an important biological mechanism to regulate gene expression and control cell development. Mechanistic modeling has become a popular approach to enhance our und…
A Hybrid HMM Approach for the Dynamics of DNA Methylation
Charalampos Kyriakopoulos, Pascal Giehr, Alexander Lück +2
The understanding of mechanisms that control epigenetic changes is an important research area in modern functional biology. Epigenetic modifications such as DNA methylation are in…
Stochastic Hybrid Models of Gene Regulatory Networks - A PDE Approach
Pavel Kurasov, Alexander Lück, Delio Mugnolo +1
A widely used approach to describe the dynamics of gene regulatory networks is based on the chemical master equation, which considers probability distributions over all possible co…
A Stochastic Model for the Formation of Spatial Methylation Patterns
Alexander Lück, Pascal Giehr, Jörn Walter +1
DNA methylation is an epigenetic mechanism whose important role in development has been widely recognized. This epigenetic modification results in heritable changes in gene express…
Localization of a microtubule organizing center by kinesin motors
Chikashi Arita, Jonas Bosche, Alexander Lück +1
The microtubule (MT) motor Kip3p is very processive kinesin that promotes catastrophes and pausing in particular on cortical contact. These properties explain the role of Kip3p in…
Generalized Method of Moments for Estimating Parameters of Stochastic Reaction Networks
Alexander Lück, Verena Wolf
Discrete-state stochastic models have become a well-established approach to describe biochemical reaction networks that are influenced by the inherent randomness of cellular events…