Specialized cell types of trophoblast cells form the placenta in which each cell type has
particular properties of proliferation and invasion. The placenta sustains the growth of the …

Random Boolean Network (RBN) is a type of regulatory network in which the nodes have
Boolean values representing their states. The robustness of RBNs against perturbations is a …

Biological organisms exist within environments in which complex nonlinear dynamics are
ubiquitous. They are coupled to these environments via their own complex dynamical …

In this paper we describe an Artificial Gene Regulatory Network (AGRN), whose form and
function are inspired by biological epigenetics. This new architecture, termed an Artificial …

Artificial gene regulatory networks are computational models that draw inspiration from
biological networks of gene regulation. Since their inception they have been used to infer …

Random Boolean Network (RBN) is one of the regulatory networks and the state value of its
node is a binary variable. The network usually contains complex interaction and redundancy …

Artificial signalling networks (ASNs) are a computational approach inspired by the signalling
processes inside cells that decode outside environmental information. Using evolutionary …

How complex traits arise within organisms over evolutionary time is an important question
that has relevance both to the understanding of biological systems and to the design of bio …

Abstract Machine learning algorithms allow computers to deal with incomplete data in tasks
such as speech recognition and object detection. Some machine learning algorithms take …

Artificial gene regulatory networks (AGRNs) are connectionist architectures inspired by
biological gene regulation capable of solving tasks within complex dynamical systems. The …