Overview

This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications.

Focus and Content

This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the “What”, “Why” and “How” of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated to omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated to applications of multi-omics analyses with applications demonstrated by several data mining methods.

Purpose and Audience

This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interest for researchers and practitioners who want to conduct multi-omics studies in cancer, inflammation disease, and microbiome research.