Statistical Analysis of Proteomic Data: Methods and Tools: 2426 (Methods in Molecular Biology) - Tapa dura
Sinopsis
This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables, missing value related issues, differential analysis software, and more. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice that leads to successful results.
Authoritative and practical, Statistical Analysis of Proteomic Data: Methods and Tools serves as an ideal guide for proteomics researchers looking to extract the best of their data with state-of-the art tools while also deepening their understanding of data analysis.
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De la contraportada
This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables, missing value related issues, differential analysis software, and more. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice that leads to successful results.
Authoritative and practical, Statistical Analysis of Proteomic Data: Methods and Tools serves as an ideal guide for proteomics researchers looking to extract the best of their data with state-of-the art tools while also deepening their understanding of data analysis.
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Statistical Analysis of Proteomic Data: Methods and Tools (Methods in Molecular Biology, 2426)
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Statistical Analysis of Proteomic Data (Hardcover)
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ISBN 10: 1071619667
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Hardcover. Condición: new. Hardcover. This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables, missing value related issues, differential analysis software, and more. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice that leads to successful results. Authoritative and practical, Statistical Analysis of Proteomic Data: Methods and Tools serves as an ideal guide for proteomics researchers looking to extract the best of their data with state-of-the art tools while also deepening their understanding of data analysis. This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781071619667
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Statistical Analysis of Proteomic Data: Methods and Tools (Methods in Molecular Biology, 2426)
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Statistical Analysis of Proteomic Data
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes cutting-edge techniquesProvides step-by-step detail essential for reproducible resultsContains key implementation advice from the expertsThis book explores the most important processing steps of proteomics data analysis and. Nº de ref. del artículo: 491258715
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Statistical Analysis of Proteomic Data
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Springer US, Springer US Okt 2022, 2022
ISBN 10: 1071619667
ISBN 13: 9781071619667
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables, missing value related issues, differential analysis software, and more. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice that leads to successful results.Authoritative and practical, Statistical Analysis of Proteomic Data: Methods and Tools serves as an ideal guide for proteomics researchers looking to extract the best of their data with state-of-the art tools while also deepening their understanding of data analysis. 408 pp. Englisch. Nº de ref. del artículo: 9781071619667
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Statistical Analysis of Proteomic Data | Methods and Tools
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Buch. Condición: Neu. Statistical Analysis of Proteomic Data | Methods and Tools | Thomas Burger | Buch | XI | Englisch | 2022 | Springer US | EAN 9781071619667 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 120398017
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Statistical Analysis of Proteomic Data
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Springer US, Springer US Okt 2022, 2022
ISBN 10: 1071619667
ISBN 13: 9781071619667
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Buch. Condición: Neu. Neuware -This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables, missing value related issues, differential analysis software, and more. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice that leads to successful results.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 408 pp. Englisch. Nº de ref. del artículo: 9781071619667
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Statistical Analysis of Proteomic Data: Methods and Tools (Methods in Molecular Biology, 2426)
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Condición: New. 1st ed. 2023 edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26387539802
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Statistical Analysis Of Proteomic Data :
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Humana Press, 2022
ISBN 10: 1071619667
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Condición: New. 2022. 1st ed. 2023. hardcover. . . . . . Nº de ref. del artículo: V9781071619667
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Statistical Analysis of Proteomic Data : Methods and Tools
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Springer US, Springer US, 2022
ISBN 10: 1071619667
ISBN 13: 9781071619667
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables, missing value related issues, differential analysis software, and more. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice that leads to successful results.Authoritative and practical, Statistical Analysis of Proteomic Data: Methods and Tools serves as an ideal guide for proteomics researchers looking to extract the best of their data with state-of-the art tools while also deepening their understanding of data analysis. Nº de ref. del artículo: 9781071619667
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