Statistical Analysis of Proteomic Data

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Methods and Tools, Methods in Molecular Biology 2426

ISBN: 1071619667
ISBN 13: 9781071619667
Herausgeber: Thomas Burger
Verlag: Springer Verlag GmbH
Umfang: XI, 393 S., 50 s/w Illustr., 477 farbige Illustr., 393 p. 527 illus., 477 illus. in color.
Erscheinungsdatum: 30.10.2022
Auflage: 1/2023
Format: 2.9 x 26 x 18.4
Gewicht: 938 g
Produktform: Gebunden/Hardback
Einband: GEB

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.

Artikelnummer: 2702018 Kategorie:

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