Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry

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.