Miha Moskon
Orcid: 0000-0003-4600-1730
According to our database1,
Miha Moskon
authored at least 29 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
On maximal almost balanced non-overlapping codes and non-overlapping codes with restricted run-lengths.
CoRR, 2024
Corrigendum to "Integration of omics data to generate and analyse COVID-19 specific genome-scale metabolic models" [Comput. Biol. Med. 145 (2022) 105428].
Comput. Biol. Medicine, 2024
Synthetic biological neural networks: From current implementations to future perspectives.
Biosyst., 2024
2023
Integrative computational modeling to unravel novel potential biomarkers in hepatocellular carcinoma.
Comput. Biol. Medicine, June, 2023
2022
An integrative approach to neighbourhood sustainability assessments using publicly available traffic data.
Comput. Environ. Urban Syst., 2022
Neural Comput. Appl., 2022
J. Comput. Sci., 2022
Integration of omics data to generate and analyse COVID-19 specific genome-scale metabolic models.
Comput. Biol. Medicine, 2022
Detecting gene-gene interactions from GWAS using diffusion kernel principal components.
BMC Bioinform., 2022
2021
Distributed biological computation: from oscillators, logic gates and switches to a multicellular processor and neural computing applications.
Neural Comput. Appl., 2021
Field-programmable biological circuits and configurable (bio)logic blocks for distributed biological computing.
Comput. Biol. Medicine, 2021
2020
J. Comput. Biol., 2020
2018
J. Comput. Biol., 2018
Semi-quantitative Modelling of Gene Regulatory Processes with Unknown Parameter Values Using Fuzzy Logic and Petri Nets.
Fundam. Informaticae, 2018
2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
J. Comput. Sci., 2017
Computational modelling of genome-scale metabolic networks and its application to CHO cell cultures.
Comput. Biol. Medicine, 2017
2016
Computational Framework for Modeling Multiple Noncooperative Transcription Factor Binding and Its Application to the Analysis of Nuclear Factor Kappa B Oscillatory Response.
J. Comput. Biol., 2016
2015
J. Signal Process. Syst., 2015
Fuzzy Logic as a Computational Tool for Quantitative Modelling of Biological Systems with Uncertain Kinetic Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Stochastic Simulation Algorithm for Gene Regulatory Networks with Multiple Binding Sites.
J. Comput. Biol., 2015
2014
Systematic Approach to Computational Designof Gene Regulatory Networks with Information Processing Capabilities.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
An adaptive genetic algorithm for parameter estimation of biological oscillator models to achieve target quantitative system response.
Nat. Comput., 2014
Overcoming unknown kinetic data for quantitative modelling of biological systems using fuzzy logic and Petri nets.
Proceedings of the 5th International Workshop on Biological Processes & Petri Nets co-located with 35th International Conference on Application and Theory of Petri Nets and Concurreny (PETRI NETS 2014), 2014
2013
Proceedings of the International Workshop on Biological Processes & Petri Nets, 2013
2008
Towards Multistate Nanocomputing: The Implementation of a Primitive Fuzzy Controller.
Proceedings of the Second International Conference on Quantum, 2008