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 …

We introduce a load-balanced adaptive routing algorithm for torus networks, GOAL-Globally
Oblivious Adaptive Locally-that provides high throughput on adversarial traffic patterns …

The Boolean network (BN) is a mathematical model used to represent various biological
processes such as gene regulatory networks. The state of a BN is determined from the …

Background A key problem in the analysis of mathematical models of molecular networks is
the determination of their steady states. The present paper addresses this problem for …

The Boolean network (BN) is a mathematical model of genetic networks and is based on
Boolean functions. Boolean functions are functions on the Boolean domain that consists of …

Biological networks, such as genetic regulatory networks, often contain positive and
negative feedback loops that settle down to dynamically stable patterns. Identifying these …

In biological systems, the dynamic analysis method has gained increasing attention in the
past decade. The Boolean network is the most common model of a genetic regulatory …

Boolean networks are an important formalism for modelling biological systems and have
attracted much attention in recent years. An important direction in Boolean networks is to …

We show how complexity theory can be introduced in machine learning to help bring
together apparently disparate areas of current research. We show that this model-driven …

Background Boolean network modeling has been widely used to model large-scale
biomolecular regulatory networks as it can describe the essential dynamical characteristics …