Motivation Boolean networks can serve as straightforward models for understanding
processes such as gene regulation, and employing logical rules. These rules can either be …

Controlling phenotypical landscapes is of vital interest to modern biology. This task becomes
highly demanding because cellular decisions involve complex networks engaging in …

Information processing in biological systems is realized by the appropriate transmission of
information flows over complex networks, such as gene regulatory, signal transduction, and …

A recent article by Weidner et al.(2021) presents a method to extract graph properties that
are predictive of the dynamical behavior of multivariate, discrete models of biochemical …

Abstract Systems biology investigates the understanding of complex biological processes,
such as ageing or cancer, by integrating a holistic view, which is mostly unconsidered when …

Trajectory inference methods are frequently used for cell fate analysis, however, most of
them are similarity-based and lack an understanding of the causality underlying …

Boolean networks allow for the construction of dynamical models of biological processes
such as the cell cycle, cellular differentiation, ageing or diseases such as cancer. The …

Biological systems must adapt to a variety of changing circumstances over the course of
lifetime. They therefore rely on complex and robust mechanisms. This includes the …

Brystkreft er den hyppigst diagnostiserte kreften på verdensbasis med mer enn 2 millioner
nye tilfeller hvert år, og dette tallet forventes bare å stige. Brystkreft som mangler …

Biological systems must adapt to a variety of changing circumstances over the course of
lifetime. They therefore rely on complex and robust mechanisms. This includes the …