Biological Pattern Discovery With R: Machine Learning Approaches

Biological Pattern Discovery With R: Machine Learning Approaches
Author :
Publisher : World Scientific
Total Pages : 462
Release :
ISBN-10 : 9789811240133
ISBN-13 : 9811240132
Rating : 4/5 (33 Downloads)

Book Synopsis Biological Pattern Discovery With R: Machine Learning Approaches by : Zheng Rong Yang

Download or read book Biological Pattern Discovery With R: Machine Learning Approaches written by Zheng Rong Yang and published by World Scientific. This book was released on 2021-09-17 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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