activity
20092021
most citedComputing Maximal and Minimal Trap Spaces of Boolean Networks

64 citations · 95 across the 8 of their papers we have counts for

collaborators

9 papers

q-bio.MN2021

Control in Boolean networks with model checking

Laura Cifuentes-Fontanals, Elisa Tonello, Heike Siebert

Understanding control mechanisms in biological systems plays a crucial role in important applications, for instance in cell reprogramming. Boolean modeling allows the identificatio…

math.AC2021

Classifier construction in Boolean networks using algebraic methods

Robert Schwieger, Matías R. Bender, Heike Siebert +1

We investigate how classifiers for Boolean networks (BNs) can be constructed and modified under constraints. A typical constraint is to observe only states in attractors or even mo…

q-bio.MN2020★ 23 cited

Control Strategy Identification via Trap Spaces in Boolean Networks

Laura Cifuentes Fontanals, Elisa Tonello, Heike Siebert

The control of biological systems presents interesting applications such as cell reprogramming or drug target identification. A common type of control strategy consists in a set of…

cs.DM2019★ 1 cited

Boolean analysis of lateral inhibition

Elisa Tonello, Heike Siebert

We study Boolean networks which are simple spatial models of the highly conserved Delta-Notch system. The models assume the inhibition of Delta in each cell by Notch in the same ce…

q-bio.MN2018★ 1 cited

Representing Model Ensembles as Boolean Functions

Robert Schwieger, Heike Siebert

Families of ODE models characterized by a common sign structure of their Jacobi matrix are investigated within the formalism of qualitative differential equations. In the context o…

math.DS2018

Basins of Attraction, Commitment Sets and Phenotypes of Boolean Networks

Hannes Klarner, Frederike Heinitz, Sarah Nee +1

The attractors of Boolean networks and their basins have been shown to be highly relevant for model validation and predictive modelling, e.g., in systems biology. Yet there are cur…