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Journal of Systems Biology & Proteome Research

Volume 2

J u n e 2 5 - 2 7 , 2 0 1 8 | D u b l i n , I r e l a n d

MASS SPECTROMETRY

AND PROTEOMICS

International Conference on

A BAYESIAN SOLUTION TO JOINTLY REMOVE THE BASELINE AND

INCREASE THE RESOLUTION OF MASS SPECTROMETRY DATA

Ali Mohammad-Djafari

CNRS, France

here have been recent advances in different Mass spectrometry technics: Time-of-Flight (TOF), Matrix Assisted Laser

Desorption/Ionization (MALDI), Orbitraps, Quadrupoles, Ion traps, Gas chromatography-mass spectrometry (GCIMS),

Fourier Transform Ion Cyclotron Resonance (FT- ICR), etc. Each technic has his advantages and drawbacks. There is no

all purpose perfect system. Data, signals and images coming out of these systems have many limitations: baseline, drift,

noise, low resolution, limited dynamics, etc. We can always improve these data by further processing (post-processing) if

we can model these imperfections either in deterministic or probabilistic ways. The main tools are inverse problems and

the Bayesian inference frameworks. In this tutorial presentation, through the deconvolution example, first the basics of the

Bayesian inference are presented. Then, a hierarchical prior model and a data generative model are assembled to handle

both the background elimination and the resolution improvement. A few simulation examples show the difficulties and the

improvements we can obtain.

J Syst Biol Proteome Res 2018, Volume 2