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Statistical Analysis of Proteomic Data

Overview of attention for book
Cover of 'Statistical Analysis of Proteomic Data'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Unveiling the Links Between Peptide Identification and Differential Analysis FDR Controls by Means of a Practical Introduction to Knockoff Filters
  3. Altmetric Badge
    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
  18. Altmetric Badge
    Chapter 17 Application of WGCNA and PloGO2 in the Analysis of Complex Proteomic Data
Attention for Chapter 17: Application of WGCNA and PloGO2 in the Analysis of Complex Proteomic Data
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Chapter title
Application of WGCNA and PloGO2 in the Analysis of Complex Proteomic Data
Chapter number 17
Book title
Statistical Analysis of Proteomic Data
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-1967-4_17
Pubmed ID
36308698
Book ISBNs
978-1-07-161966-7, 978-1-07-161967-4
Authors

Wu, Jemma X., Pascovici, Dana, Wu, Yunqi, Walker, Adam K., Mirzaei, Mehdi

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Other 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 October 2022.
All research outputs
#18,947,527
of 23,485,296 outputs
Outputs from Methods in molecular biology
#8,025
of 13,156 outputs
Outputs of similar age
#18,499,109
of 22,923,594 outputs
Outputs of similar age from Methods in molecular biology
#8,041
of 13,181 outputs
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So far Altmetric has tracked 13,156 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 13,181 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.

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