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Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry (Hardcover, 1st ed. 2017)
Loot Price: R4,984
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Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry (Hardcover, 1st ed. 2017)
Series: Frontiers in Probability and the Statistical Sciences
Expected to ship within 12 - 17 working days
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This book presents an overview of computational and statistical
design and analysis of mass spectrometry-based proteomics,
metabolomics, and lipidomics data. This contributed volume provides
an introduction to the special aspects of statistical design and
analysis with mass spectrometry data for the new omic sciences. The
text discusses common aspects of design and analysis between and
across all (or most) forms of mass spectrometry, while also
providing special examples of application with the most common
forms of mass spectrometry. Also covered are applications of
computational mass spectrometry not only in clinical study but also
in the interpretation of omics data in plant biology studies. Omics
research fields are expected to revolutionize biomolecular research
by the ability to simultaneously profile many compounds within
either patient blood, urine, tissue, or other biological samples.
Mass spectrometry is one of the key analytical techniques used in
these new omic sciences. Liquid chromatography mass spectrometry,
time-of-flight data, and Fourier transform mass spectrometry are
but a selection of the measurement platforms available to the
modern analyst. Thus in practical proteomics or metabolomics,
researchers will not only be confronted with new high dimensional
data types-as opposed to the familiar data structures in more
classical genomics-but also with great variation between distinct
types of mass spectral measurements derived from different
platforms, which may complicate analyses, comparison, and
interpretation of results.
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