Multi-Omics Technology in Human Health and Diseases

Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic offers an advanced exploration into the comprehensive understanding of disease etiology and prognosis through multiomics approaches. This authoritative volume delves into the applications of multiomics technology in elucidating complex human health conditions and diseases. It introduces the technology's potential for biomarker identification, drug discovery, and disease prognostication. For a thorough understanding of human health and diseases, particularly cancer, it is essential to integrate knowledge of molecular biomarkers across multiple omics levels, including the genome, epigenome, transcriptome, proteome, and metabolome. This resource addresses the current gaps in knowledge among students and researchers, providing in-depth coverage of multiomics technology and its implementation in scientific research and discovery.
Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omic is a pioneering resource that presents cutting-edge information on contemporary multiomics technologies for big data interpretation and their applications in deciphering complex human pathobiology. This comprehensive guide is indispensable for researchers, academics, students, and industry professionals alike.

• Presents the most recent advancements in multiomics technology for elucidating complex human pathobiology
• Offers comprehensive insights into understanding disease etiology and prognosis
• Introduces the principles of multiomics technology and its applications in biomarker identification, drug discovery, and disease prognostication
• Explores the tools and methodologies for integrating and interpreting multiomics data sets
• Introduces multiomics databases and visualization web portals
• Provides up-to-date information on the role of multiomics technology in understanding intricate human pathobiology

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