Probabilistic Boolean network (PBN) modelling is a semi-quantitative approach widely used
for the study of the topology and dynamic aspects of biological systems. The combined use …

Written by prominent experts in the field, this monograph provides the first comprehensive,
unified presentation of the structural, algorithmic and applied aspects of the theory of …

Mathematical and computational modeling of genetic regulatory networks promises to
uncover the fundamental principles governing biological systems in an integrative and …

Describes a new, logic-based methodology for analyzing observations. The key features of
this “logical analysis of data”(LAD) methodology are the discovery of minimal sets of features …

The original goal of writing this book was to introduce the reader to the tools of
combinatorics from an applied point of view. This third edition of Applied Combinatorics was …

Boolean networks are a popular model class for capturing the interactions of genes and
global dynamical behavior of genetic regulatory networks. Recently, a significant amount of …

Abstract “Logical analysis of data”(LAD) is a methodology developed since the late eighties,
aimed at discovering hidden structural information in data sets. LAD was originally …

It was around the period of World War II that Arturo Rosenblueth and Norbert Wiener were
taking the first steps in the direction of systems medicine. They formed an interesting pair …

This book serves as an introduction to the myriad computational approaches to gene
regulatory modeling and analysis, and is written specifically with experimental biologists in …

Patterns are the key building blocks in the logical analysis of data (LAD). It has been
observed in empirical studies and practical applications that some patterns are more …