Accumulated genetic data are stimulating the use of mathematical and computational tools
for studying the concerted action of genes during cell differentiation and morphogenetic …

Boolean control networks (BCNs) are recently attracting considerable interest as
computational models for genetic and cellular networks. Addressing control-theoretic …

Flowers are the most complex structures of plants. Studies of Arabidopsis thaliana, which
has typical eudicot flowers, have been fundamental in advancing the structural and …

Phase transitions--changes between different states of organization in a complex system--
have long helped to explain physics concepts, such as why water freezes into a solid or …

The ability to map causal interactions underlying genetic control and cellular signaling has
led to increasingly accurate models of the complex biochemical networks that regulate …

Boolean networks (BNs) are discrete-time dynamical systems with Boolean state-variables
and outputs. BNs are recently attracting considerable interest as computational models for …

Engineered gene drives create potential for both widespread benefits and irreversible harms
to ecosystems. CRISPR-based systems of allelic conversion have rapidly accelerated gene …

This paper addresses the problem of finding attractors in synchronous Boolean networks.
The existing Boolean decision diagram-based algorithms have limited capacity due to the …

The study of network structure has uncovered signatures of the organization of complex
systems. However, there is also a need to understand how to control them; for example …

Boolean networks (BNs) are discrete-time dynamical systems with Boolean state variables.
BNs have recently been attracting considerable interest as computational models for …