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Statistical Analysis of Proteomic Data

Overview of attention for book
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
Attention for 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 title
Unveiling the Links Between Peptide Identification and Differential Analysis FDR Controls by Means of a Practical Introduction to Knockoff Filters
Chapter number 1
Book title
Statistical Analysis of Proteomic Data
Published by
Humana, New York, NY, August 2021
DOI 10.1007/978-1-0716-1967-4_1
Pubmed ID
36308682
Book ISBNs
978-1-07-161966-7, 978-1-07-161967-4
Authors

Etourneau, Lucas, Varoquaux, Nelle, Burger, Thomas

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Other 1 14%
Student > Master 1 14%
Other 0 0%
Unknown 2 29%
Readers by discipline Count As %
Chemical Engineering 1 14%
Unspecified 1 14%
Computer Science 1 14%
Unknown 4 57%

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