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Statistical Analysis of Proteomic Data

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Cover of 'Statistical Analysis of Proteomic Data'

Table of Contents

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    Book Overview
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    Chapter 1 Unveiling the Links Between Peptide Identification and Differential Analysis FDR Controls by Means of a Practical Introduction to Knockoff Filters
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    Chapter 2 A Pipeline for Peptide Detection Using Multiple Decoys
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    Chapter 3 Enhanced Proteomic Data Analysis with MetaMorpheus
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    Chapter 4 Validation of MS/MS Identifications and Label-Free Quantification Using Proline
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    Chapter 5 Integrating Identification and Quantification Uncertainty for Differential Protein Abundance Analysis with Triqler
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    Chapter 6 Left-Censored Missing Value Imputation Approach for MS-Based Proteomics Data with GSimp
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    Chapter 7 Towards a More Accurate Differential Analysis of Multiple Imputed Proteomics Data with mi4limma
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    Chapter 8 Uncertainty-Aware Protein-Level Quantification and Differential Expression Analysis of Proteomics Data with seaMass
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    Chapter 9 Statistical Analysis of Quantitative Peptidomics and Peptide-Level Proteomics Data with Prostar
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    Chapter 10 msmsEDA & msmsTests: Label-Free Differential Expression by Spectral Counts
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    Chapter 11 Exploring Protein Interactome Data with IPinquiry: Statistical Analysis and Data Visualization by Spectral Counts
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    Chapter 12 Statistical Analysis of Post-Translational Modifications Quantified by Label-Free Proteomics Across Multiple Biological Conditions with R: Illustration from SARS-CoV-2 Infected Cells
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    Chapter 13 Fast, Free, and Flexible Peptide and Protein Quantification with FlashLFQ
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    Chapter 14 Robust Prediction and Protein Selection with Adaptive PENSE
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    Chapter 15 Multivariate Analysis with the R Package mixOmics
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    Chapter 16 Integrating Multiple Quantitative Proteomic Analyses Using MetaMSD
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    Chapter 17 Application of WGCNA and PloGO2 in the Analysis of Complex Proteomic Data
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Title
Statistical Analysis of Proteomic Data
Published by
Springer US, November 2021
DOI 10.1007/978-1-0716-1967-4
ISBNs
978-1-07-161966-7, 978-1-07-161967-4
Editors

Burger, Thomas

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