Biological Pattern Discovery With R: Machine Learning Approaches e-bog
436,85 DKK
(inkl. moms 546,06 DKK)
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 subj...
E-bog
436,85 DKK
Forlag
World Scientific
Udgivet
17 september 2021
Længde
464 sider
Genrer
Medical and health informatics
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9789811240133
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.