Statistical Analysis of Proteomic Data: Methods and Tools (Methods in Molecular Biology, 2426)

ISBN 10: 1071619667 ISBN 13: 9781071619667

Editorial: Humana, 2022

Idioma: Ingl�s

Nuevos Condici�n: New Encuadernaci�n de tapa dura

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Descripci�n

1st ed. 2023 edition NO-PA16APR2015-KAP.

N� de ref. del art�culo 26387539802

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Detalles bibliogr�ficos

T�tulo: Statistical Analysis of Proteomic Data: Methods and Tools (Methods in Molecular Biology, 2426)
Editor: Humana
Fecha de publicaci�n: 2022
Idioma: Ingl�s
ISBN 10: 1071619667
ISBN 13: 9781071619667
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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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.

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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