Statistical Analysis of Proteomic Data, 1st ed. 2023 Methods and Tools Methods in Molecular Biology Series, Vol. 2426
1. Unveiling the Links between Peptide Identification and Differential Analysis FDR Controls by Means of a Practical Introduction to Knockoff Filters
Lucas Etourneau, Nelle Varoquaux, and Thomas Burger
2. A Pipeline for Peptide Detection Using Multiple Decoys
Syamand Hasam, Kristen Emery, William Stafford Noble, and Uri Keich
3. Enhanced Proteomic Data Analysis with MetaMorpheus
Rachel M. Miller, Robert J. Millikin, Zach Rolfs, Michael R. Shortreed, and Lloyd
M. Smith
4. Validation of MS/MS Identifications and Label-Free Quantification Using Proline
Véronique Dupierris, Anne-Marie Hesse, Jean-Philippe Menetrey, David Bouyssié, Thomas Burger, Yohann Couté, and Christophe Bruley
5. Integrating Identification and Quantification Uncertainty for Differential Protein Abundance Analysis with Triqler
Matthew The and Lukas Käll
6. Left-Censored Missing Value Imputation Approach for MS-Based Proteomics Data with Gsimp
Runmin Wei and Jingye Wang
7. Towards a More Accurate Differential Analysis of Multiple Imputed Proteomics Data with mi4limma
Marie Chion, Christine Carapito, and Frédéric Bertrand
8. Uncertainty Aware Protein-Level Quantification and Differential Expression Analysis of Proteomics Data with seaMass
Alexander M. Phillips, Richard D. Unwin, Simon J. Hubbard, and Andrew W. Dowsey
9. Statistical Analysis of Quantitative Peptidomics and Peptide-Level Proteomics Data with Prostar
Marianne Tardif, Enora Fremy, Anne-Marie Hesse, Thomas Burger, Yohann Couté, and Samuel Wieczorek
10. msmsEDA and msmsTests: Label-Free Differential Expression by Spectral Counts
Josep Gregori, Àlex Sánchez, and Josep Villanueva
11. Exploring Protein Interactome Data with IPinquiry: Statistical Analysis and Data Visualization by Spectral Counts
Lauriane Kuhn, Timothée Vincent, Philippe Hammann, and Hélène Zuber
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
Quentin Giai Gianetto
13. Fast, Free, and Flexible Peptide and Protein Quantification with FlashLFQ
Robert J. Millikin, Michael R. Shortreed, Mark Scalf, and Lloyd M. Smith
14. Robust Prediction and Protein Selection with Adaptive PENSE
David Kepplinger and Gabriela V. Cohen Freue
15. Multivariate Analysis with the R Package mixOmics
Zoe Welham, Sébastien Déjean, and Kim-Anh Lê Cao
16. Integrating Multiple Quantitative Proteomic Analyses Using MetaMSD
So Young Ryu, Miriam P. Yun, and Sujung Kim
17. Application of WGCNA and PloGO2 in the Analysis of Complex Proteomic Data
Jemma X. Wu, Dana Pascovici, Yunqi Wu, Adam K. Walker, and Mehdi Mirzaei
Includes cutting-edge techniques
Provides step-by-step detail essential for reproducible results
Contains key implementation advice from the experts
Date de parution : 10-2023
Ouvrage de 393 p.
17.8x25.4 cm
Date de parution : 10-2022
Ouvrage de 393 p.
17.8x25.4 cm