Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic provides a way forward in understanding complete disease etiology and prognosis. This unique book gives a comprehensive understanding of multi-omics technology and its applications in understanding complex human health and disease, and not only introduces the technology, but also its use for biomarker identification, drug discovery, and disease prognostication. This is the first resource on currently utilized multiomics technology for big data interpretation, and is thus perfect for researchers, academia, students, and an industrial audience. As a comprehensive understanding of human health and diseases, particularly cancer, requires knowledge of molecular biomarkers at a multi-omics level, including genome, epigenome, transcriptome, proteome, and metabolome, which is meagerly available or highly lacking among the students and scientific researchers, this book checks all the right boxes.
Table of Contents
1. Introduction to the Multi-omics Technology2. Multi-Omics data integration tools and approaches
3. Multi-omics data types and databases
4. Multi-omics Technology in the Human Health and Disease
5. Multi-omics for Disease subtyping and classification
6. Multi-Omics and Biomarker Discovery
7. Multi-Omics and Drug Development
8. Multi-Omics Technology and Cancers
9. Multi-Omics Technology and Cardiovascular Disease
10. Multi-Omics Technology and Viral Infections.
11. Multi-omics data for Machine Learning algorithms
12. Challenges with Multi-Omics data integration
