Introducing a handbook for gene regulatory network research using
evolutionary computation, with applications for computer
scientists, computational and system biologists This book is a
step-by-step guideline for research in gene regulatory networks
(GRN) using evolutionary computation (EC). The book is organized
into four parts that deliver materials in a way equally attractive
for a reader with training in computation or biology. Each of these
sections, authored by well-known researchers and experienced
practitioners, provides the relevant materials for the interested
readers. The first part of this book contains an introductory
background to the field. The second part presents the EC approaches
for analysis and reconstruction of GRN from gene expression data.
The third part of this book covers the contemporary advancements in
the automatic construction of gene regulatory and reaction networks
and gives direction and guidelines for future research. Finally,
the last part of this book focuses on applications of GRNs with EC
in other fields, such as design, engineering and robotics. Provides
a reference for current and future research in gene regulatory
networks (GRN) using evolutionary computation (EC) Covers
sub-domains of GRN research using EC, such as expression profile
analysis, reverse engineering, GRN evolution, applications Contains
useful contents for courses in gene regulatory networks, systems
biology, computational biology, and synthetic biology Delivers
state-of-the-art research in genetic algorithms, genetic
programming, and swarm intelligence Evolutionary Computation in
Gene Regulatory Network Research is a reference for researchers and
professionals in computer science, systems biology, and
bioinformatics, as well as upper undergraduate, graduate, and
postgraduate students. Hitoshi Iba is a Professor in the Department
of Information and Communication Engineering, Graduate School of
Information Science and Technology, at the University of Tokyo,
Toyko, Japan. He is an Associate Editor of the IEEE Transactions on
Evolutionary Computation and the journal of Genetic Programming and
Evolvable Machines. Nasimul Noman is a lecturer in the School of
Electrical Engineering and Computer Science at the University of
Newcastle, NSW, Australia. From 2002 to 2012 he was a faculty
member at the University of Dhaka, Bangladesh. Noman is an Editor
of the BioMed Research International journal. His research
interests include computational biology, synthetic biology, and
bioinformatics.
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