Miha Moskon

According to our database, Miha Moskon authored at least 26 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Integrative computational modeling to unravel novel potential biomarkers in hepatocellular carcinoma.

Andrew Walakira, Cene Skubic, Nejc Nadizar, Damjana Rozman, Tadeja Rezen, Miha Mraz, Miha Moskon

Comput. Biol. Medicine, June, 2023

In search of maximum non-overlapping codes.

Lidija Stanovnik, Miha Moskon, Miha Mraz

CoRR, 2023

2022

An integrative approach to neighbourhood sustainability assessments using publicly available traffic data.

Spela Verovsek, Matevz Juvancic, Simon Petrovcic, Tadeja Zupancic, Matija Svetina, Miha Janez, Ziga Pusnik, Nina Velikajne, Miha Moskon

Comput. Environ. Urban Syst., 2022

Programmable evolution of computing circuits in cellular populations.

Miha Moskon, Miha Mraz

Neural Comput. Appl., 2022

RhythmCount: A Python package to analyse the rhythmicity in count data.

Nina Velikajne, Miha Moskon

J. Comput. Sci., 2022

Integration of omics data to generate and analyse COVID-19 specific genome-scale metabolic models.

Tadeja Rezen, Alexandre Martins, Miha Mraz, Nikolaj Zimic, Damjana Rozman, Miha Moskon

Comput. Biol. Medicine, 2022

Detecting gene-gene interactions from GWAS using diffusion kernel principal components.

Andrew Walakira, Junior Ocira, Diane Duroux, Ramouna Fouladi, Miha Moskon, Damjana Rozman, Kristel Van Steen

BMC Bioinform., 2022

A computational design of a programmable biological processor.

Miha Moskon, Ziga Pusnik, Lidija Stanovnik, Nikolaj Zimic, Miha Mraz

Biosyst., 2022

2021

Distributed biological computation: from oscillators, logic gates and switches to a multicellular processor and neural computing applications.

Miha Moskon, Roman Komac, Nikolaj Zimic, Miha Mraz

Neural Comput. Appl., 2021

Field-programmable biological circuits and configurable (bio)logic blocks for distributed biological computing.

Miha Moskon, Ziga Pusnik, Nikolaj Zimic, Miha Mraz

Comput. Biol. Medicine, 2021

2020

ViDis: A Platform for Constructing and Sharing of Medical Algorithms.

Nermin Jukan, David Zagorsek, Julija Lazarevic, Irena Preloznik Zupan, Natasa Debeljak, Miha Moskon

J. Comput. Biol., 2020

CosinorPy: a python package for cosinor-based rhythmometry.

Miha Moskon

BMC Bioinform., 2020

2018

Grohar: Automated Visualization of Genome-Scale Metabolic Models and Their Pathways.

Miha Moskon, Nikolaj Zimic, Miha Mraz

J. Comput. Biol., 2018

Semi-quantitative Modelling of Gene Regulatory Processes with Unknown Parameter Values Using Fuzzy Logic and Petri Nets.

Jure Bordon, Miha Moskon, Nikolaj Zimic, Miha Mraz

Fundam. Informaticae, 2018

2017

Classical Mechanics Approach Applied to Analysis of Genetic Oscillators.

Anastasiia Vasylchenkova, Miha Mraz, Nikolaj Zimic, Miha Moskon

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Computational design of synchronous sequential structures in biological systems.

Lidija Magdevska, Ziga Pusnik, Miha Mraz, Nikolaj Zimic, Miha Moskon

J. Comput. Sci., 2017

Computational modelling of genome-scale metabolic networks and its application to CHO cell cultures.

Ziva Rejc, Lidija Magdevska, Tilen Trselic, Timotej Osolin, Rok Vodopivec, Jakob Mraz, Eva Pavliha, Nikolaj Zimic, Tanja Cvitanovic, Damjana Rozman, Miha Moskon, Miha Mraz

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.

Manca Bizjak, Nikolaj Zimic, Miha Mraz, Miha Moskon

J. Comput. Biol., 2016

2015

Hardware Implementation of FAST Algorithm for Mobile Applications.

Domen Soberl, Nikolaj Zimic, Ales Leonardis, Jaka Krivic, Miha Moskon

J. Signal Process. Syst., 2015

Fuzzy Logic as a Computational Tool for Quantitative Modelling of Biological Systems with Uncertain Kinetic Data.

Jure Bordon, Miha Moskon, Nikolaj Zimic, Miha Mraz

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Stochastic Simulation Algorithm for Gene Regulatory Networks with Multiple Binding Sites.

Mattia Petroni, Nikolaj Zimic, Miha Mraz, Miha Moskon

J. Comput. Biol., 2015

2014

Systematic Approach to Computational Designof Gene Regulatory Networks with Information Processing Capabilities.

Miha Moskon, Miha Mraz

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

An adaptive genetic algorithm for parameter estimation of biological oscillator models to achieve target quantitative system response.

Martin Strazar, Miha Mraz, Nikolaj Zimic, Miha Moskon

Nat. Comput., 2014

Overcoming unknown kinetic data for quantitative modelling of biological systems using fuzzy logic and Petri nets.

Jure Bordon, Miha Moskon, Miha Mraz

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

Quantitative modelling of biological systems with extended Fuzzy Petri Nets.

Jure Bordon, Miha Moskon, Miha Mraz

Proceedings of the International Workshop on Biological Processes & Petri Nets, 2013

2008

Towards Multistate Nanocomputing: The Implementation of a Primitive Fuzzy Controller.

Miha Mraz, Zlatko Magdevski, Jelena Ficzko, Nikolaj Zimic, Miha Moskon, Miha Janez, Iztok Lebar Bajec

Proceedings of the Second International Conference on Quantum, 2008