Introduction

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.

Organization and Content

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.

Purpose and Approach

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.

Goals

The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms.