Stochastic dynamics of genetic networks: modelling and parameter identification. - Eugenio Cinquemani; Andreas Milias-Argeitis; Sean Summers; John Lygeros (Bioinform., 2008)

Local Identification of Piecewise Deterministic Models of Genetic Networks. - Eugenio Cinquemani; Andreas Milias-Argeitis; Sean Summers; John Lygeros (HSCC, 2009)

Bayesian model selection for the yeast GATA-factor network: A comparison of computational approaches. - Andreas Milias-Argeitis; Riccardo Porreca; Sean Summers; John Lygeros (CDC, 2010)

Attaining Mean Square Boundedness of a Marginally Stable Stochastic Linear System With a Bounded Control Input. - Federico Ramponi; Debasish Chatterjee; Andreas Milias-Argeitis; Peter Hokayem 001; John Lygeros (IEEE Trans. Autom. Control., 2010)

Efficient stochastic simulation of metastable Markov chains. - Andreas Milias-Argeitis; John Lygeros (CDC/ECC, 2011)

Analysis of controlled biological switches via stochastic motion planning. - Peyman Mohajerin Esfahani; Andreas Milias-Argeitis; Debasish Chatterjee (ECC, 2013)

Computational methods for simulation, identification and model selection in systems biology. - Andreas Milias-Argeitis (2013)

Optimization-based Lyapunov function construction for continuous-time Markov chains with affine transition rates. - Andreas Milias-Argeitis; Mustafa Khammash (CDC, 2014)

Adaptive Model Predictive Control of an optogenetic system. - Andreas Milias-Argeitis; Mustafa Khammash (CDC, 2015)

Elucidation of Genetic Interactions in the Yeast GATA-Factor Network Using Bayesian Model Selection. - Andreas Milias-Argeitis; Ana Paula Oliveira; Luca Gerosa; Laura Falter; Uwe Sauer; John Lygeros (PLoS Comput. Biol., 2016)

Parameter inference for stochastic single-cell dynamics from lineage tree data. - Irena Kuzmanovska; Andreas Milias-Argeitis; Jan Mikelson; Christoph Zechner; Mustafa Khammash (BMC Syst. Biol., 2017)

Efficient global sensitivity analysis of biochemical networks using Gaussian process regression. - Tamara Kurdyaeva; Andreas Milias-Argeitis (CDC, 2018)

Moment-based uncertainty propagation for deterministic biochemical network models with rational reaction rates. - Tamara Kurdyaeva; Andreas Milias-Argeitis (ECC, 2021)

Propagation of initial condition uncertainty for linear dynamical systems: beyond the Gaussian assumption. - Tamara Kurdyaeva; Andreas Milias-Argeitis (ECC, 2022)

A convolutional neural network for segmentation of yeast cells without manual training annotations. - Herbert Teun Kruitbosch; Yasmin Mzayek; Sara Omlor; Paolo Guerra; Andreas Milias-Argeitis (Bioinform., 2022)