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Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry
Approaches dealing with Labeled and Label-free Peptide Applications
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The book explores advanced statistical methodologies tailored for mass spectrometry-based proteomics, focusing on the challenges posed by unknown peptide sequences. It addresses two key topics: the separation and quantification of overlapping peptides in label-free applications, and the complexities of enzymatic 18O labeling, including incomplete labeling and varying residual variance. Both frequentist and Bayesian approaches are utilized, with Bayesian analysis particularly emphasized when non-identifiability issues emerge without prior information.
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Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry, Qi Zhu
- Language
- Released
- 2011
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- Title
- Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry
- Subtitle
- Approaches dealing with Labeled and Label-free Peptide Applications
- Language
- English
- Authors
- Qi Zhu
- Publisher
- LAP LAMBERT Academic Publishing
- Publisher
- 2011
- Format
- Paperback
- Pages
- 360
- ISBN13
- 9783843394468
- Category
- Mathematics
- Description
- The book explores advanced statistical methodologies tailored for mass spectrometry-based proteomics, focusing on the challenges posed by unknown peptide sequences. It addresses two key topics: the separation and quantification of overlapping peptides in label-free applications, and the complexities of enzymatic 18O labeling, including incomplete labeling and varying residual variance. Both frequentist and Bayesian approaches are utilized, with Bayesian analysis particularly emphasized when non-identifiability issues emerge without prior information.