17 citations · 90 across the 13 of their papers we have counts for
15 papers
Making Models That Matter: How to Build Trustworthy and Useful Systems Biology Models
John M. Hancock, Mihail Anton, Frank T. Bergmann +23
Computational models supporting mechanistic understanding of (complex) biological systems, systems behaviour prediction, and experimental design are becoming more and more embedded…
Inference of Qualitative Models from Steady-State Data via Weighted MaxSMT
Ondřej Huvar, Nikola Beneš, Martin Jonáš +2
Qualitative models provide crucial instruments for modelling complex biological systems. While advances in automated reasoning and symbolic encodings have enabled rigorous inferenc…
Robust Control of Partially Specified Boolean Networks
Luboš Brim, Samuel Pastva, David Šafránek +1
Regulatory networks (RNs) are a well-accepted modelling formalism in computational systems biology. The control of RNs is currently receiving a lot of attention because it provides…
Biochemical Space Language in Relation to Multiset Rewriting Systems
Matej Troják, David Šafránek, Luboš Brim
This technical report relates Biochemical Space Language (BCSL) to Multiset rewriting systems (MRS). For a BCSL model, the semantics are defined in terms of transition systems, whi…
BDD-Based Algorithm for SCC Decomposition of Edge-Coloured Graphs
Nikola Beneš, Luboš Brim, Samuel Pastva +1
Edge-coloured directed graphs provide an essential structure for modelling and analysis of complex systems arising in many scientific disciplines (e.g. feature-oriented systems, ge…
Parallel One-Step Control of Parametrised Boolean Networks
Lubos Brim, Samuel Pastva, David Safranek +1
Boolean network (BN) is a simple model widely used to study complex dynamic behaviour of biological systems. Nonetheless, it might be difficult to gather enough data to precisely c…