Biological Pattern Discovery With R: Machine Learning Approaches

Zheng Rong Yang

ISBN 10: 9811240116 / ISBN 13: 9789811240119

Published by WSPC 02/p /22 S, 2021

About this Item

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Bibliographic Details

• Title: Biological Pattern Discovery With R: Machine Learning Approaches
• Publisher: WSPC 02/p /22 S
• Publication Date: 2021
• Language: English
• ISBN 10: 9811240116
• ISBN 13: 9789811240119
• Binding: Hardcover
• Condition: Very Good

About this title

Synopsis

This book provides the research directions for new or junior researchers who are going to use machine learning approaches for biological pattern discovery. The book was written based on the research experience of the author's several research projects in collaboration with biologists worldwide. The chapters are organised to address individual biological pattern discovery problems. For each subject, the research methodologies and the machine learning algorithms which can be employed are introduced and compared. Importantly, each chapter was written with the aim to help the readers to transfer their knowledge in theory to practical implementation smoothly. Therefore, the R programming environment was used for each subject in the chapters. The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms.

About the Author

<p><strong>Dr Ron Z R Yang</strong> is a senior lecturer at the Biosciences School of University of Exeter. His main research interest is machine learning applications for biological pattern discovery. He has authored and co-authored four books and has published over 100 refereed research articles. He served on the editorial boards of three journals.</p>