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Multi-Omics Technology in Human Health and Diseases

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Om Multi-Omics Technology in Human Health and Diseases

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.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9780443135958
  • Bindende:
  • Paperback
  • Sider:
  • 235
  • Utgitt:
  • 1. september 2024
  • Dimensjoner:
  • 191x0x235 mm.
  • BLACK NOVEMBER
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Leveringstid: Kan forhåndsbestilles
Utvidet returrett til 31. januar 2025

Beskrivelse av Multi-Omics Technology in Human Health and Diseases

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.

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