Description: Further DetailsTitle: Evolutionary Computation in Gene Regulatory Network ResearchCondition: NewDescription: 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.Author: Hitoshi IbaContributor: Hitoshi Iba (Edited by), Nasimul Noman (Edited by), Yi Pan (Series edited by), Albert Y. Zomaya (Series edited by)Country/Region of Manufacture: USEAN: 9781118911518Format: HardbackGenre: MedicineISBN: 9781118911518Item Height: 242mmItem Length: 160mmItem Weight: 760gItem Width: 29mmLanguage: EnglishPublisher: John Wiley & Sons IncRelease Date: 03/29/2016Book Series: Wiley Series in BioinformaticsTopic: Computing & InternetRelease Year: 2016 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Evolutionary Computation in Gene Regulatory Network Research
Contributor: Albert Y. Zomaya (Series edited by)
Country/Region of Manufacture: US
EAN: 9781118911518
Genre: Medicine
ISBN: 9781118911518
Release Date: 03/29/2016
Release Year: 2016
Title: Evolutionary Computation in Gene Regulatory Network Research
Topic: Computing & Internet
Number of Pages: 464 Pages
Language: English
Publication Name: Evolutionary Computation in Gene Regulatory Network Research
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2016
Item Height: 1.2 in
Subject: Programming / Algorithms, Life Sciences / Genetics & Genomics, Neural Networks, Databases / Data Mining
Type: Textbook
Item Weight: 27.3 Oz
Subject Area: Computers, Science
Author: Nasimul Noman
Item Length: 9.3 in
Item Width: 6.4 in
Series: Wiley Series in Bioinformatics Ser.
Format: Hardcover
