Titlebook: Statistical Analysis in Proteomics; Klaus Jung Book 2016 Springer Science+Business Media New York 2016 Data analysis.High-throughput data.

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False Discovery Rate Estimation in Proteomics positives present in the data processed. False discovery rate (FDR) is the metric for global confidence assessment of a large-scale proteomics dataset. This chapter covers the basics of FDR, its application in proteomics, and methods to estimate FDR.

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Set-Based Test Procedures for the Functional Analysis of Protein Lists from Differential Analysisexperiment and the second only those features of a particular set. In this chapter we detail the working principle of these kind of statistical methods and describe how features can be classified into molecular subsets. We illustrate the use of the methods on a data example from a proteomics Parkins

Pulmonary-Veins

Thyroid-Gland

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Julia Kuligowski,David Pérez-Guaita,Guillermo Quintás Ph.D.

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Irene Sui Lan Zeng Ph.D.provide reference information by selected, leading authorities in their domain of expertise. They are representing both academia and industry. All of them have been chosen because of their intimate knowledge of their subjects as well as their ability to present them in an easily understandable manner..978-94-017-8449-8978-90-481-3046-7

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