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‘Essentials of Cancer Genomic, Computational Approaches and Precision Medicine

By: Contributor(s): Material type: TextTextLanguage: English Series: https://doi.org/10.1007/978-981-15-1067-0Publication details: Rawalpindi, Pakistan : Springer Nature Singapore Pte Ltd : 2020Description: 498 Pages Includes ReferencesISBN:
  • 978-981-15-1066-3
  • 978-981-15-1067-0
Subject(s): Online resources: Summary: This book concisely describes the role of omics in precision medicine for cancer therapies. It outlines our current understanding of cancer genomics, shares insights into the process of oncogenesis, and discusses emerging technologies and clinical applications of cancer genomics in prognosis and precision-medicine treatment strategies. It then elaborates on recent advances concerning transcriptomics and translational genomics in cancer diagnosis, clinical applications, and personalized medicine in oncology. Importantly, it also explains the importance of high-performance analytics, predictive modeling, and system biology in cancer research. Lastly, the book discusses current and potential future applications of pharmacogenomics in clinical cancer therapy and cancer drug development.
Item type: E-BOOKS
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Item type Current library Status Barcode
E-BOOKS MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO Not for loan 20240822153454.0
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This book concisely describes the role of omics in precision medicine for cancer therapies. It outlines our current understanding of cancer genomics, shares insights into the process of oncogenesis, and discusses emerging technologies and clinical applications of cancer genomics in prognosis and precision-medicine treatment strategies.

It then elaborates on recent advances concerning transcriptomics and translational genomics in cancer diagnosis, clinical applications, and personalized medicine in oncology. Importantly, it also explains the importance of high-performance analytics, predictive modeling, and system biology in cancer research.

Lastly, the book discusses current and potential future applications of pharmacogenomics in clinical cancer therapy and cancer drug development.

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