Statistical Analysis of Proteomic Data

Methods and Tools

Thomas Burger

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Hardback

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English

Springer-Verlag New York Inc.
30 October 2022

Probability & statistics; Biology, life sciences; Proteins; Computer science

Series: Methods in Molecular Biology

Summary
Details

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.

Edited by: Thomas Burger
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: 2022 ed.
Volume: 2426
Dimensions: Height: 254mm, Width: 178mm,
Weight: 961g
ISBN: 9781071619667
ISBN 10: 1071619667
Series: Methods in Molecular Biology
Pages: 393
Publication Date: 30 October 2022
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active