MaBoSS
MaBoSS is a C++ software for simulating continuous/discrete time Markov processes, applied on a Boolean network. MaBoSS uses a specific language for associating transition rates to each node. Given some initial conditions, MaBoSS applies Monte-Carlo kinetic algorithm (or Gillespie algorithm) to the network to produce time trajectories. Time evolution of probabilities are estimated. In addition, global and semi-global characterizations of the whole system are computed.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
Sorted by year (- Moon, Kyungduk; Lee, Kangbok; Chopra, Sunil; Kwon, Steve: Bilevel integer programming on a Boolean network for discovering critical genetic alterations in cancer development and therapy (2022)
- John Zobolas; Martin Kuiper; Åsmund Flobak: emba: R package for analysis and visualization of biomarkers in boolean model ensembles (2020) not zbMATH
- Réda, Clémence; Wilczyński, Bartek: Automated inference of gene regulatory networks using explicit regulatory modules (2020)
- Tonello, Elisa; Siebert, Heike: Boolean analysis of lateral inhibition (2020)
Further publications can be found at: https://maboss.curie.fr