Statistical Analysis in Proteomics by Klaus Jung

Statistical Analysis in Proteomics

Download Statistical Analysis in Proteomics

Statistical Analysis in Proteomics Klaus Jung ebook
ISBN: 9781493931057
Format: pdf
Publisher: Springer New York
Page: 313

Designing an experiment for quantitative proteomic analysis is not a trivial task. In this chapter, we illustrate statistical designs for such proteomics experiments as well as methods for the analysis of resulting data. The model was applied to the global analysis of protein alterations Quantitative proteomics; stable isotope labeling; statistical analysis; yeast. Finding the significant markers: statistical analysis of proteomic data. This valuable collection aims to provide a collection of frequently used statistical methods in the field of proteomics. Standardization of data processing and statistical analysis in comparative plant proteomics experiment. Targeted proteomics: Experimental design and data analysis settings, manual and automated quantitative analysis, and statistical analysis of the data). Although there is a large overlap. When to use standard statistical tests. Chapter 2 is an introduction to statistical analysis of clinical proteomics data. Doi: 10.1007/978-1-60761-987-1_16. Valledor L(1), Romero-Rodríguez MC, Jorrin-Novo JV. Statistics in experimental design, preprocessing, and analysis of proteomics data. 3 Assessing the statistical validity of proteomics based biomarkers.

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