Statistical Analysis Of Proteomic Data :

Burger, Thomas

ISBN 10: 1071619667 / ISBN 13: 9781071619667

Edité par Humana Press, 2022

2022. 1st ed. 2023. hardcover. . . . . . N° de réf. du vendeur V9781071619667

Synopsis :

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. Inte

Détails bibliographiques

Titre : Statistical Analysis Of Proteomic Data :
Éditeur : Humana Press
Date d'édition : 2022
Reliure : Couverture rigide
Etat : New
Edition : Edition originale