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 (ICQNM, 2008)

Quantitative modelling of biological systems with extended Fuzzy Petri Nets. - Jure Bordon; Miha Moskon; Miha Mraz (BioPPN@Petri Nets, 2013)

Overcoming unknown kinetic data for quantitative modelling of biological systems using fuzzy logic and Petri nets. - Jure Bordon; Miha Moskon; Miha Mraz (BioPPN@Petri Nets, 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)

Systematic Approach to Computational Designof Gene Regulatory Networks with Information Processing Capabilities. - Miha Moskon; Miha Mraz (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Stochastic Simulation Algorithm for Gene Regulatory Networks with Multiple Binding Sites. - Mattia Petroni; Nikolaj Zimic; Miha Mraz; Miha Moskon (J. Comput. Biol., 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)

Hardware Implementation of FAST Algorithm for Mobile Applications. - Domen Soberl; Nikolaj Zimic; Ales Leonardis; Jaka Krivic; Miha Moskon (J. Signal Process. Syst., 2015)

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)

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)

Computational design of synchronous sequential structures in biological systems. - Lidija Magdevska; Ziga Pusnik; Miha Mraz; Nikolaj Zimic; Miha Moskon (J. Comput. Sci., 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)

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)

Grohar: Automated Visualization of Genome-Scale Metabolic Models and Their Pathways. - Miha Moskon; Nikolaj Zimic; Miha Mraz (J. Comput. Biol., 2018)

CosinorPy: a python package for cosinor-based rhythmometry. - Miha Moskon (BMC Bioinform., 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)

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)

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)

A computational design of a programmable biological processor. - Miha Moskon; Ziga Pusnik; Lidija Stanovnik; Nikolaj Zimic; Miha Mraz (Biosyst., 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)

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)

RhythmCount: A Python package to analyse the rhythmicity in count data. - Nina Velikajne; Miha Moskon (J. Comput. Sci., 2022)

Programmable evolution of computing circuits in cellular populations. - Miha Moskon; Miha Mraz (Neural Comput. Appl., 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)

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, 2023)

Synthetic biological neural networks: From current implementations to future perspectives. - Ana Haluzan Vasle; Miha Moskon (Biosyst., 2024)

Corrigendum to "Integration of omics data to generate and analyse COVID-19 specific genome-scale metabolic models" [Comput. Biol. Med. 145 (2022) 105428]. - Tadeja Rezen; Alexandre Martins; Miha Mraz; Nikolaj Zimic; Damjana Rozman; Miha Moskon (Comput. Biol. Medicine, 2024)

In search of maximum non-overlapping codes. - Lidija Stanovnik; Miha Moskon; Miha Mraz (Des. Codes Cryptogr., 2024)

On maximal almost balanced non-overlapping codes and non-overlapping codes with restricted run-lengths. - Lidija Stanovnik; Miha Moskon; Miha Mraz (Comput. Appl. Math., 2025)

Correction: On maximal almost balanced non-overlapping codes and non-overlapping codes with restricted run-lengths. - Lidija Stanovnik; Miha Moskon; Miha Mraz (Comput. Appl. Math., 2025)