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Verena Wolf

Showing results (1-10 of 26) with videos related to

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BMC Systems Biology|October 23, 2016
Generalized method of moments for estimating parameters of stochastic reaction networksAlexander Lück, Verena Wolf
Plos One|July 20, 2021
Heterogeneity matters: Contact structure and individual variation shape epidemic dynamicsGerrit Großmann, Michael Backenköhler, Verena Wolf
Plos One|October 30, 2020
Efficient simulation of non-Markovian dynamics on complex networksGerrit Großmann, Luca Bortolussi, Verena Wolf
Bioinformatics (Oxford, England)|January 29, 2017
H(O)TA: estimation of DNA methylation and hydroxylation levels and efficiencies from time course dataCharalampos Kyriakopoulos, Pascal Giehr, Verena Wolf
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 11, 2018
Moment-Based Parameter Estimation for Stochastic Reaction Networks in EquilibriumMichael Backenkohler, Luca Bortolussi, Verena Wolf
Journal of Mathematical Biology|January 26, 2021
Analytic solutions for stochastic hybrid models of gene regulatory networksPavel Kurasov, Delio Mugnolo, Verena Wolf
Physical Review. E|February 17, 2018
Lumping of degree-based mean-field and pair-approximation equations for multistate contact processesCharalampos Kyriakopoulos, Gerrit Grossmann, Verena Wolf, et al.
Mathematical Biosciences|September 24, 2018
Stochastic hybrid models of gene regulatory networks - A PDE approachPavel Kurasov, Alexander Lück, Delio Mugnolo, et al.
Journal of Chemical Information and Modeling|May 16, 2024
Guided Docking as a Data Generation Approach Facilitates Structure-Based Machine Learning on KinasesMichael Backenköhler, Joschka Groß, Verena Wolf, et al.
EURASIP Journal on Bioinformatics & Systems Biology|July 20, 2012
Approximate maximum likelihood estimation for stochastic chemical kineticsAleksandr Andreychenko, Linar Mikeev, David Spieler, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
BMC Systems Biology|October 23, 2016
Generalized method of moments for estimating parameters of stochastic reaction networksAlexander Lück, Verena Wolf
Plos One|July 20, 2021
Heterogeneity matters: Contact structure and individual variation shape epidemic dynamicsGerrit Großmann, Michael Backenköhler, Verena Wolf
Plos One|October 30, 2020
Efficient simulation of non-Markovian dynamics on complex networksGerrit Großmann, Luca Bortolussi, Verena Wolf
Bioinformatics (Oxford, England)|January 29, 2017
H(O)TA: estimation of DNA methylation and hydroxylation levels and efficiencies from time course dataCharalampos Kyriakopoulos, Pascal Giehr, Verena Wolf
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 11, 2018
Moment-Based Parameter Estimation for Stochastic Reaction Networks in EquilibriumMichael Backenkohler, Luca Bortolussi, Verena Wolf
Journal of Mathematical Biology|January 26, 2021
Analytic solutions for stochastic hybrid models of gene regulatory networksPavel Kurasov, Delio Mugnolo, Verena Wolf
Physical Review. E|February 17, 2018
Lumping of degree-based mean-field and pair-approximation equations for multistate contact processesCharalampos Kyriakopoulos, Gerrit Grossmann, Verena Wolf, et al.
Mathematical Biosciences|September 24, 2018
Stochastic hybrid models of gene regulatory networks - A PDE approachPavel Kurasov, Alexander Lück, Delio Mugnolo, et al.
Journal of Chemical Information and Modeling|May 16, 2024
Guided Docking as a Data Generation Approach Facilitates Structure-Based Machine Learning on KinasesMichael Backenköhler, Joschka Groß, Verena Wolf, et al.
EURASIP Journal on Bioinformatics & Systems Biology|July 20, 2012
Approximate maximum likelihood estimation for stochastic chemical kineticsAleksandr Andreychenko, Linar Mikeev, David Spieler, et al.
Pageof 3