Statistical Analysis of Proteomic Data - Methods and Tools (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Methods in Molecular Biology, 2426
Release date:	October 2022
First published:	2023
Editors:	Thomas Burger
Dimensions:	254 x 178mm (L x W)
Format:	Hardcover
Pages:	393
Edition:	1st ed. 2023
ISBN-13:	978-1-07-161966-7
Categories:	Books > Science & Mathematics > Chemistry > General Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
LSN:	1-07-161966-7
Barcode:	9781071619667

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