Statistical Analysis in Proteomics
| Corporate Author: | |
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| Other Authors: | |
| Summary: | X, 313 p. 85 illus., 58 illus. in color. text |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Humana,
2016.
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| Edition: | 1st ed. 2016. |
| Series: | Methods in Molecular Biology,
1362 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-1-4939-3106-4 |
| Format: | Electronic Book |
Table of Contents:
- Introduction to Proteomics Technologies
- Topics in Study Design and Analysis for Multi-Stage Clinical Proteomics Studies
- Preprocessing and Analysis of LC-MS-Based Proteomic Data
- Normalization of Reverse Phase Protein Microarray Data: Choosing the Best Normalization Analyte
- Outlier Detection for Mass Spectrometric Data
- Visualization and Differential Analysis of Protein Expression Data Using R
- False Discovery Rate Estimation in Proteomics
- A Nonparametric Bayesian Model for Nested Clustering
- Set-Based Test Procedures for the Functional Analysis of Protein Lists from Differential Analysis
- Classification of Samples with Order Restricted Discriminant Rules
- Application of Discriminant Analysis and Cross Validation on Proteomics Data
- Protein Sequence Analysis by Proximities
- Statistical Method for Integrative Platform Analysis: Application to Integration of Proteomic and Microarray Data
- Data Fusion in Metabolomics and Proteomics for Biomarkers Discovery
- Reconstruction of Protein Networks Using Reverse Phase Protein Array Data
- Detection of Unknown Amino Acid Substitutions Using Error-Tolerant Database Search
- Data Analysis Strategies for Protein Modification Identification
- Dissecting the iTRAQ DataAnalysis
- Statistical Aspects in Proteomic Biomarker Discovery.