Evolutionary Computation in Gene Regulatory Network Research (Wiley Series in Bioinformatics)

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Evolutionary Computation in Gene Regulatory Network Research (Wiley Series in Bioinformatics) by Hitoshi Iba.pdf

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Descriptions : p b Introducing a handbook for gene regulatory network research using evolutionary computation with applications for computer scientists computational and system biologists b 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 practitionersrovides 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 i Evolutionary Computation in Gene Regulatory Network Research i is a reference for researchers and professionals in computer science systems biology and bioinformatics as well as upper undergraduate graduate and postgraduate students b Hitoshi Iba b 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 i IEEE Transactions on Evolutionary Computation i and the journal of i Genetic Programming and Evolvable Machines i br br b Nasimul Noman b is a lecturer in the School of Electrical Engineering and Computer Science at the University of Newcastle NSW Australia From to he was a faculty member at the University of Dhaka Bangladesh Noman is an Editor of the i BioMed Research International i journal His research interests include computational biology synthetic biology and bioinformatics










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