Alexander Lück

Alexander Lück

Former Member

PhD Student

Modeling and Simulation Group, Saarland University

Universität des Saarlandes

Room 325

66123 Saarbrücken

Germany

About Me

I was a PhD student at the group of Modeling and Simulation from January 2015 until August 2020.

Publications

  • A. Lück, V. Wolf: A Stochastic Automata Network Description for Spatial DNA-Methylation Models, International Conference on Measurement, Modelling and Evaluation of Computing Systems, MMB 2020
  • A. Lück, P. Giehr, K. Nordström, J. Walter, V. Wolf: Hidden Markov modelling reveals neighborhood dependence of Dnmt3a and 3b activity, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019
  • C. Kyriakopoulos, P. Giehr, A. Lück, J. Walter, V. Wolf: A Hybrid HMM Approach for the Dynamics of DNA Methylation, International Workshop on Hybrid Systems Biology, HSB 2019
  • P. Kurasov, A. Lück, D. Mugnolo, V. Wolf: Stochastic hybrid models of gene regulatory networks – A PDE approach, Math. Biosci 305, 2018
  • C. Arita, J. Bosche, A. Lück, L. Santen: Localization of a microtubule organizing center by kinesin motors, J. Stat. Mech. 12 123210, 2017
  • A. Lück, P. Giehr, J. Walter, V. Wolf: A Stochastic Model for the Formation of Spatial Methylation Patterns, Computational Methods in Systems Biology, CMSB 2017
  • A. Lück, V. Wolf: Generalized method of moments for estimating parameters of stochastic reaction networks, BMC Syst. Biol. 10:98, 2016
  • A. Lück: Replicated computational results (RCR) report for “Automatic Moment-Closure Approximation of Spatially Distributed Collective Adaptive Systems.”, ACM Trans. Model. Comput. Simul. 26, 4, Article 27, 2016
  • C. Arita, A. Lück, L. Santen: Length regulation of microtubules by molecular motors: exact solution and density profiles, J. Stat. Mech. 6 P06027, 2015

Other work

I reviewed manuscripts for the following conferences CAV 2015, CAV 2017, CIBCB 2019, CMSB 2016, CMSB 2017, CONCUR 2018, HSB 2019, MMB&DFT 2016, and journals Applied Mathematics and Computation, BMC Bioinformatics.

Publications (5)

2019

2 papers

Hidden Markov Modelling Reveals Neighborhood Dependence of Dnmt3a and 3b Activity

Alexander Lück, Pascal Giehr, Karl Nordström, Jörn Walter and Verena Wolf

2019 — IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

@article{luckHiddenMarkovModellingReveals2019,
 author = {Alexander Lück and Pascal Giehr and Karl Nordström and Jörn Walter and Verena Wolf},
 doi = {10.1109/TCBB.2019.2910814},
 journal = {IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)},
 month = {4},
 number = {5},
 pages = {1598-1609},
 publisher = {IEEE},
 title = {Hidden Markov Modelling Reveals Neighborhood Dependence of Dnmt3a and 3b Activity},
 volume = {16},
 year = {2019}
}
DOI

A Hybrid HMM Approach for the Dynamics of DNA Methylation

Charalampos Kyriakopoulos, Pascal Giehr, Alexander Lück, Jörn Walter and Verena Wolf

2019 — Hybrid Systems Biology

@inproceedings{kyriakopoulosAHybridHMMApproach2019,
 address = {Cham},
 author = {Kyriakopoulos, Charalampos and Giehr, Pascal and Lück, Alexander and Walter, Jörn and Wolf, Verena},
 booktitle = {Hybrid Systems Biology},
 editor = {Češka, Milan and Paoletti, Nicola},
 isbn = {978-3-030-28042-0},
 pages = {117--131},
 publisher = {Springer International Publishing},
 title = {A Hybrid HMM Approach for the Dynamics of DNA Methylation},
 year = {2019}
}

2018

1 paper

Stochastic hybrid models of gene regulatory networks – A PDE approach

Pavel Kurasov, Alexander Lück, Delio Mugnolo and Verena Wolf

2018 — Mathematical Biosciences

@article{kurasovStochasticHybridModelsOf2018,
 author = {Pavel Kurasov and Alexander Lück and Delio Mugnolo and Verena Wolf},
 doi = {10.1016/j.mbs.2018.09.009},
 journal = {Mathematical Biosciences},
 month = {11},
 pages = {170-177},
 publisher = {Elsevier, Amsterdam},
 title = {Stochastic hybrid models of gene regulatory networks – A PDE approach},
 volume = {305},
 year = {2018}
}
DOI

2017

1 paper

A Stochastic Model for the Formation of Spatial Methylation Patterns

Alexander Lück, Pascal Giehr, Jörn Walter and Verena Wolf

2017 — Computational Methods in Systems Biology

@inproceedings{luckAStochasticModelFor2017,
 address = {Cham},
 author = {Lück, Alexander and Giehr, Pascal and Walter, Jörn and Wolf, Verena},
 booktitle = {Computational Methods in Systems Biology},
 editor = {Feret, Jérôme and Koeppl, Heinz},
 isbn = {978-3-319-67471-1},
 pages = {160--178},
 publisher = {Springer International Publishing},
 title = {A Stochastic Model for the Formation of Spatial Methylation Patterns},
 year = {2017}
}

2016

1 paper

Generalized method of moments for estimating parameters of stochastic reaction networks

Alexander Lück and Verena Wolf

2016 — BMC Systems Biology

@article{luckGeneralizedMethodOfMoments2016,
 author = {Alexander Lück and Verena Wolf},
 doi = {10.1186/s12918-016-0342-8},
 journal = {BMC Systems Biology},
 month = {10},
 number = {98},
 pages = {1-12},
 publisher = {BioMed Central, UK},
 title = {Generalized method of moments for estimating parameters of stochastic reaction networks},
 volume = {10},
 year = {2016}
}
DOI

Teaching (7)

Supervised Students (2)

Thesis co-supervision.

  • A. Kupitz

    Design and calibration of stochastic models for DNA methylation patterns

    Master's Thesis, 2019

  • A. Bies

    Multi-dimensional moment-based methods for parameter inference in biochemical networks

    Bachelor's Thesis, 2016