PDF BookNMR Metabolomics in Cancer Research (Woodhead Publishing Series in Biomedicine)

Download Ebook NMR Metabolomics in Cancer Research (Woodhead Publishing Series in Biomedicine)



Download Ebook NMR Metabolomics in Cancer Research (Woodhead Publishing Series in Biomedicine)

Download Ebook NMR Metabolomics in Cancer Research (Woodhead Publishing Series in Biomedicine)

You can download in the form of an ebook: pdf, kindle ebook, ms word here and more softfile type. Download Ebook NMR Metabolomics in Cancer Research (Woodhead Publishing Series in Biomedicine), this is a great books that I think are not only fun to read but also very educational.
Book Details :
Published on: 2012-12-17
Released on: 2012-12-17
Original language:
Download Ebook NMR Metabolomics in Cancer Research (Woodhead Publishing Series in Biomedicine)

The application of nuclear magnetic resonance (NMR) metabolomics in cancer research requires an understanding of the many possibilities that NMR metabolomics can offer, as well as of the specific characteristics of the cancer metabolic phenotype and the open questions in cancer research. NMR metabolomics in cancer research presents a detailed account of the NMR spectroscopy methods applied to metabolomics mixture analysis along with a discussion of their advantages and disadvantages. Following an overview of the potential use of NMR metabolomics in cancer research, the book begins with an examination of the cancer metabolic phenotype and experimental methodology, before moving on to cover data pre-processing and data analysis. Chapters in the latter part of the book look at dynamic metabolic profiling, biomarker discovery, and the application of NMR metabolomics for different types of cancer, before a concluding chapter discusses future perspectives in the field.Focused description of NMR spectroscopy needed by cancer biologists who are starting to use metabolomicsCurrent overview of knowledge related to the cancer metabolic phenotype from the perspective of metabolomics applicationsInformation about the best practices in NMR metabolomics experimentation and data preprocessing as applied to different sample types
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