How Long to Read Evolutionary Computation in Gene Regulatory Network Research

How Long Does it Take to Read Evolutionary Computation in Gene Regulatory Network Research?

It takes the average reader 7 hours and 51 minutes to read Evolutionary Computation in Gene Regulatory Network Research by Hitoshi Iba

Assuming a reading speed of 250 words per minute. Learn more

Description

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.

How long is Evolutionary Computation in Gene Regulatory Network Research?

Evolutionary Computation in Gene Regulatory Network Research by Hitoshi Iba is 464 pages long, and a total of 117,856 words.

This makes it 157% the length of the average book. It also has 144% more words than the average book.

How Long Does it Take to Read Evolutionary Computation in Gene Regulatory Network Research Aloud?

The average oral reading speed is 183 words per minute. This means it takes 10 hours and 44 minutes to read Evolutionary Computation in Gene Regulatory Network Research aloud.

What Reading Level is Evolutionary Computation in Gene Regulatory Network Research?

Evolutionary Computation in Gene Regulatory Network Research is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Evolutionary Computation in Gene Regulatory Network Research?

Evolutionary Computation in Gene Regulatory Network Research by Hitoshi Iba is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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