Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic

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. Provides a way forward in understanding complete disease etiology and prognosisIntroduces the technology and its use for biomarker identification, drug discovery, and disease prognosticationDiscusses the tools and methods used to assist integration and interpretation of multi-omics datasetsIntroduces multi-omics databases and visualization web portalsProvides current information on multi-omics technology in understanding this complex human pathobiology INDICE: 1. Introduction to the Multi-omics Technology2. Multi-Omics data integration tools and approaches3. Multi-omics data types and databases4. Multi-omics Technology in the Human Health and Disease5. Multi-omics for Disease subtyping and classification6. Multi-Omics and Biomarker Discovery7. Multi-Omics and Drug Development8. Multi-Omics Technology and Cancers9. Multi-Omics Technology and Cardiovascular Disease10. Multi-Omics Technology and Viral Infections.11. Multi-omics data for Machine Learning algorithms12. Challenges with Multi-Omics data integration

• ISBN: 978-0-443-13595-8
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 235
• Fecha Publicación: 01/03/2025
• Nº Volúmenes: 1
• Idioma: Inglés