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Titlebook: Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry; Susmita Datta,Bart J. A. Mertens Book 2017

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书目名称Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry
编辑Susmita Datta,Bart J. A. Mertens
视频video
概述Presents an overview of distinct forms of mass spectrometry for different objectives and their associated statistical analysis from an internationally represented field of interdisciplinary contributo
丛书名称Frontiers in Probability and the Statistical Sciences
图书封面Titlebook: Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry;  Susmita Datta,Bart J. A. Mertens Book 2017
描述.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
出版日期Book 2017
关键词Bayesian; analysis; analytical chemistry; biochemistry; bioinformatics; biomarker; biostatistics; computer
版次1
doihttps://doi.org/10.1007/978-3-319-45809-0
isbn_softcover978-3-319-83377-4
isbn_ebook978-3-319-45809-0Series ISSN 2624-9987 Series E-ISSN 2624-9995
issn_series 2624-9987
copyrightSpringer International Publishing Switzerland 2017
The information of publication is updating

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Book 2017cs 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
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Mass Spectrometry Analysis Using MALDIquant,tance, by MALDI and SELDI instruments. We first describe the various methods and algorithms available in .. Subsequently, we illustrate a typical analysis workflow using . by investigating an experimental cancer data set, starting from raw mass spectrometry measurements and ending at multivariate cl
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