Statistical analysis proteomics (12 Ergebnisse)

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    Hardcover. Zustand: Wie neu. 1st edition. 303 pp. As new, excellent copy 214 Sprache: Englisch Gewicht in Gramm: 600.

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  • Sprache: Englisch

    Verlag: Springer, 2019

    1493979876 / 9781493979875

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This valuable collection aims to provide a collection of frequently used statistical methods in the field of proteomics. Although there is a large overlap between statistical methods for the different 'omics' fields, methods for analyzing data from proteomics experiments need their own specific adaptations. To satisfy that need, Statistical Analysis in Proteomics focuses on the planning of proteomics experiments, the preprocessing and analysis of the data, the integration of proteomics data with other high-throughput data, as well as some special topics. Written for the highly successful Methods in Molecular Biology series, the chapters contain the kind of detail and expert implementation advice that makes for a smooth transition to the laboratory.Practical and authoritative, Statistical Analysis in Proteomics serves as an ideal reference for statisticians involved in the planning and analysis of proteomics experiments, beginners as well as advanced researchers, and also for biologists, biochemists, and medical researchers who want to learn more about the statistical opportunities in the analysis of proteomics data. …

  • Sprache: Englisch

    Verlag: Humana, 2019

    1493979876 / 9781493979875

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    Taschenbuch. Zustand: Neu. Statistical Analysis in Proteomics | Klaus Jung | Taschenbuch | x | Englisch | 2019 | Humana | EAN 9781493979875 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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    Verlag: Springer, 2016

    3319458078 / 9783319458076

    Serie: Buch 5 von 6 - Frontiers in Probability and the Statistical Sciences

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    Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 304 | Sprache: Englisch | Produktart: Bücher | 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.…

  • Sprache: Englisch

    Verlag: Humana Press, 2019

    1493979876 / 9781493979875

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    Verlag: Springer, 2018

    3319833774 / 9783319833774

    Serie: Buch 5 von 6 - Frontiers in Probability and the Statistical Sciences

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    Taschenbuch. Zustand: Neu. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry | Susmita Datta (u. a.) | Taschenbuch | Frontiers in Probability and the Statistical Sciences | viii | Englisch | 2018 | Springer | EAN 9783319833774 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

  • Sprache: Englisch

    Verlag: Springer, 2018

    3319833774 / 9783319833774

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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    Verlag: Springer, 2016

    3319458078 / 9783319458076

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

  • Sprache: Englisch

    Verlag: Springer, 2016

    3319458078 / 9783319458076

    Serie: Buch 5 von 6 - Frontiers in Probability and the Statistical Sciences

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