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Andrzej Mizera
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2020 – today
- 2024
- [i6]Andrzej Mizera, Jakub Zarzycki:
Deep Reinforcement Learning for Controlled Traversing of the Attractor Landscape of Boolean Models in the Context of Cellular Reprogramming. CoRR abs/2402.08491 (2024) - 2023
- [j14]Ross Horne, Sjouke Mauw, Andrzej Mizera
, André Stemper, Jan Thoemel:
Anomaly Detection Using Deep Learning Respecting the Resources on Board a CubeSat. J. Aerosp. Inf. Syst. 20(12): 859-872 (2023) - 2020
- [j13]Soumya Paul
An Efficient Approach Towards the Source-Target Control of Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 1932-1945 (2020)
2010 – 2019
- 2019
- [j12]Andrzej Mizera, Jun Pang
GPU-accelerated steady-state computation of large probabilistic Boolean networks. Formal Aspects Comput. 31(1): 27-46 (2019) - [j11]Qixia Yuan, Andrzej Mizera, Jun Pang, Hongyang Qu:
A new decomposition-based method for detecting attractors in synchronous Boolean networks. Sci. Comput. Program. 180: 18-35 (2019) - [j10]Andrzej Mizera
Taming Asynchrony for Attractor Detection in Large Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 31-42 (2019) - 2018
- [j9]Andrzej Mizera
ASSA-PBN: A Toolbox for Probabilistic Boolean Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1203-1216 (2018) - [j8]Andrzej Mizera
Reviving the Two-State Markov Chain Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1525-1537 (2018) - [c13]Soumya Paul, Cui Su, Jun Pang, Andrzej Mizera:
A Decomposition-based Approach towards the Control of Boolean Networks. BCB 2018: 11-20 - [c12]Andrzej Mizera, Jun Pang, Hongyang Qu, Qixia Yuan:
ASSA-PBN 3.0: Analysing Context-Sensitive Probabilistic Boolean Networks. CMSB 2018: 277-284 - [i5]Soumya Paul, Cui Su, Jun Pang, Andrzej Mizera:
A Decomposition-based Approach towards the Control of Boolean Networks (Technical Report). CoRR abs/1804.07221 (2018) - 2017
- [j7]Sepinoud Azimi
Multi-Stability, Limit Cycles, and Period-Doubling Bifurcation with Reaction Systems. Int. J. Found. Comput. Sci. 28(8): 1007-1020 (2017) - [c11]Andrzej Mizera, Jun Pang, Hongyang Qu, Qixia Yuan:
A New Decomposition Method for Attractor Detection in Large Synchronous Boolean Networks. SETTA 2017: 232-249 - [i4]Andrzej Mizera, Jun Pang, Hongyang Qu, Qixia Yuan:
Taming Asynchrony for Attractor Detection in Large Boolean Networks (Technical Report). CoRR abs/1704.06530 (2017) - 2016
- [j6]Qixia Yuan, Hongyang Qu, Jun Pang, Andrzej Mizera:
Improving BDD-based attractor detection for synchronous Boolean networks. Sci. China Inf. Sci. 59(8): 080101:1-080101:16 (2016) - [c10]Andrzej Mizera, Jun Pang, Qixia Yuan:
Fast Simulation of Probabilistic Boolean Networks. CMSB 2016: 216-231 - [c9]Andrzej Mizera, Jun Pang, Qixia Yuan:
ASSA-PBN 2.0: A Software Tool for Probabilistic Boolean Networks. CMSB 2016: 309-315 - [c8]Andrzej Mizera, Jun Pang, Qixia Yuan:
Parallel approximate steady-state analysis of large probabilistic Boolean networks. SAC 2016: 1-8 - [c7]Andrzej Mizera, Jun Pang, Qixia Yuan:
GPU-Accelerated Steady-State Computation of Large Probabilistic Boolean Networks. SETTA 2016: 50-66 - [i3]Andrzej Mizera, Jun Pang, Qixia Yuan:
Fast Simulation of Probabilistic Boolean Networks (Technical Report). CoRR abs/1605.00854 (2016) - 2015
- [c6]Andrzej Mizera, Jun Pang, Qixia Yuan:
ASSA-PBN: An Approximate Steady-State Analyser of Probabilistic Boolean Networks. ATVA 2015: 214-220 - [c5]Xihui Chen, Andrzej Mizera, Jun Pang:
Activity tracking: A new attack on location privacy. CNS 2015: 22-30 - [c4]Hongyang Qu, Qixia Yuan, Jun Pang, Andrzej Mizera:
Improving BDD-based Attractor Detection for Synchronous Boolean Networks. Internetware 2015: 212-220 - [i2]Andrzej Mizera, Jun Pang, Qixia Yuan:
Reviving the Two-state Markov Chain Approach (Technical Report). CoRR abs/1501.01779 (2015) - [i1]Andrzej Mizera, Jun Pang, Qixia Yuan:
Parallel Approximate Steady-state Analysis of Large Probabilistic Boolean Networks (Technical Report). CoRR abs/1508.07828 (2015) - 2014
- [c3]Andrzej Mizera, Jun Pang, Qixia Yuan:
Model-Checking Based Approaches to Parameter Estimation of Gene Regulatory Networks. ICECCS 2014: 206-209 - 2012
- [j5]Elena Czeizler
A Boolean Approach for Disentangling the Roles of Submodules to the Global Properties of a Biomodel. Fundam. Informaticae 116(1-4): 51-63 (2012) - [j4]Eugen Czeizler, Andrzej Mizera, Elena Czeizler, Ralph-Johan Back, John E. Eriksson, Ion Petre
Quantitative Analysis of the Self-Assembly Strategies of Intermediate Filaments from Tetrameric Vimentin. IEEE ACM Trans. Comput. Biol. Bioinform. 9(3): 885-898 (2012) - [j3]Andrzej Mizera, Eugen Czeizler
Self-assembly Models of Variable Resolution. Trans. Comp. Sys. Biology 14: 181-203 (2012) - 2011
- [j2]Ion Petre
A simple mass-action model for the eukaryotic heat shock response and its mathematical validation. Nat. Comput. 10(1): 595-612 (2011)
2000 – 2009
- 2009
- [c2]Ion Petre
A New Mathematical Model for the Heat Shock Response. Algorithmic Bioprocesses 2009: 411-425 - [c1]Ion Petre
Computational Heuristics for Simplifying a Biological Model. CiE 2009: 399-408 - 2006
- [j1]Norbert Dojer, Anna Gambin
Applying dynamic Bayesian networks to perturbed gene expression data. BMC Bioinform. 7: 249 (2006)
Coauthor Index
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