Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omics
Editat de Muzafar A Macha, Ajaz A. bhat, Tariq A masoodien Limba Engleză Paperback – 13 mar 2025
Multi-Omics Technology in Human Health and Diseases: Genomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics, Radiomics, Multi-omics 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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Specificații
ISBN-13: 9780443135958
ISBN-10: 0443135959
Pagini: 286
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443135959
Pagini: 286
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Cuprins
1. Introduction to Multi-Omics Technology
2. Multi-Omics data integration tools and approaches
3. Navigating the Multifaceted Landscape of Omics
4. Multiomics in Cancer Research
5. Multi-omics for Disease subtyping and classification
6. Multi-Omics and Biomarker Discoveries in Alzheimer’s Disease
7. Multi-Omics and Drug Development
8. Multi-Omics Technology and Cancers
9. Multi-Omics Data for Machine Learning Algorithms
10. Challenges with Multi-Omics Data Integration
11. Multi-omics Technology and Cardiovascular Diseases
2. Multi-Omics data integration tools and approaches
3. Navigating the Multifaceted Landscape of Omics
4. Multiomics in Cancer Research
5. Multi-omics for Disease subtyping and classification
6. Multi-Omics and Biomarker Discoveries in Alzheimer’s Disease
7. Multi-Omics and Drug Development
8. Multi-Omics Technology and Cancers
9. Multi-Omics Data for Machine Learning Algorithms
10. Challenges with Multi-Omics Data Integration
11. Multi-omics Technology and Cardiovascular Diseases