书目详细信息
： Statistical analysis of proteomic data :
书目信息 机读格式(MARC)
| ISBN： | 9781071619698 |
|---|---|
| 编目源： | GW5XE GW5XE BIT |
| 语种代码： | eng |
| 个人名称： | Burger, Thomas |
| 题名： | Statistical analysis of proteomic data : methods and tools / edited by Thomas Burger. |
| 出版发行项： | New York, NY : Humana Press, [2023] |
| 载体形态： | xi, 393 pages : illustrations (some color) ; 24 cm. |
| 一般附注： | Includes index |
| 格式化内容附注： | Unveiling the Links between Peptide Identification and Differential Analysis FDR Controls by Means of a Practical Introduction to Knockoff Filters -- A Pipeline for Peptide Detection Using Multiple Decoys -- Enhanced Proteomic Data Analysis with MetaMorpheus -- Validation of MS/MS Identifications and Label-Free Quantification Using Proline -- Integrating Identification and Quantification Uncertainty for Differential Protein Abundance Analysis with Triqler -- Left-Censored Missing Value Imputation Approach for MS-Based Proteomics Data with Gsimp -- Towards a More Accurate Differential Analysis of Multiple Imputed Proteomics Data with mi4limma -- Uncertainty Aware Protein-Level Quantification and Differential Expression Analysis of Proteomics Data with seaMass -- Statistical Analysis of Quantitative Peptidomics and Peptide-Level Proteomics Data with Prostar -- msmsEDA and msmsTests: Label-Free Differential Expression by Spectral Counts -- Exploring Protein Interactome Data with IPinquiry: Statistical Analysis and Data Visualization by Spectral Counts -- Statistical Analysis of Post-Translational Modifications Quantified by Label-Free Proteomics Across Multiple Biological Conditions with R: Illustration from SARS-CoV-2 Infected Cells -- Fast, Free, and Flexible Peptide and Protein Quantification with FlashLFQ -- Robust Prediction and Protein Selection with Adaptive PENSE -- Multivariate Analysis with the R Package mixOmics -- Integrating Multiple Quantitative Proteomic Analyses Using MetaMSD -- Application of WGCNA and PloGO2 in the Analysis of Complex Proteomic Data |