This volume explores recent techniques for the computational inference of gene regulatory networks (GRNs). The chapters in this book cover topics such as method

The first comprehensive treatment of probabilistic Boolean networks, unifying different strands of current research and addressing emerging issues.

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

This volume presents protocols that analyze and explore gene regulatory networks (GRNs) at different levels in plants. This book is divided into two parts: Part

This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter auth