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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