Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry
This book presents an overview of computational and statistical design and analysis of mass spectrometry-based proteomics, metabolomics, and lipidomics data. This contributed volume provides an introduction to the special aspects of statistical design and analysis with mass spectrometry data for the...
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Series: | Frontiers in Probability and the Statistical Sciences
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Transformation, normalization and batch effect in the analysis of mass spectrometry data for omics studies
- Automated Alignment of Mass Spectrometry Data Using Functional Geometry
- The analysis of peptide-centric mass spectrometry data utilizing information about the expected isotope distribution
- Probabilistic and likelihood-based methods for protein identification from MS/MS data
- An MCMC-MRF Algorithm for Incorporating Spatial Information in IMS Data Processing
- Mass Spectrometry Analysis Using MALDIquant
- Model-based analysis of quantitative proteomics data with data independent acquisition mass spectrometry
- The analysis of human serum albumin proteoforms using compositional framework
- Variability Assessment of Label-Free LC-MS Experiments for Difference Detection
- Statistical approach for biomarker discovery using label-free LC-MS data - an overview
- Bayesian posterior integration for classification of mass spectrometry data
- Logistic regression modeling on mass spectrometry data in proteomics case-control discriminant studies
- Robust and confident predictor selection in metabolomics
- On the combination of omics data for prediction of binary Outcomes
- Statistical analysis of lipidomics data in a case-control study.
