Statistical Modeling for the Analysis of MALDI-TOF Mass Spectrometry - Zhu, Qi
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The analsyses involve novel as well as application oritented statistical methodologies applied to the mass spectrometry based proteomics data. This is a new research area in the statistical point of view, and it requires non-routine statistical modeling approaches. The analyses are based on the assumption of unknown peptide sequences. In such situation, more elaborate statistical modeling approaches need to be developed, to account for the uncertainty caused by the estimation of the masses of the peptides. Two topics are considered in the analyses. The first topic is to separate and quantify…mehr

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Produktbeschreibung
The analsyses involve novel as well as application oritented statistical methodologies applied to the mass spectrometry based proteomics data. This is a new research area in the statistical point of view, and it requires non-routine statistical modeling approaches. The analyses are based on the assumption of unknown peptide sequences. In such situation, more elaborate statistical modeling approaches need to be developed, to account for the uncertainty caused by the estimation of the masses of the peptides. Two topics are considered in the analyses. The first topic is to separate and quantify overlapping peptides for the label-free applications. The challenge to this topic is to distinguish the isotopic peaks from different peptides which cause an overlap in a spectrum. The second topic aims towards one of the recently developed labeling techniques-- the enzymatic 18O labeling. The key difficulty lies in this topic is how to account for incomplete labeling, non-constant residual variance, etc. Both frequentist and Bayesian approaches are applied. Bayesian analysis becomes the unique choice when non-identifiability issues arise without the incorporation of prior information.
Autorenporträt
Dr. Qi Zhu received a Ph.D. in EECS from University of California, Berkeley in 2008. Dr. Zhu has authored over 15 referred conference and journal publications, and received two Best Paper Awards at the Design Automation Conference. His interests are in the areas of design automation, electronic system-level design and embedded systems.