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MRM protein quantification and serum sample classification

Abstract : Quantification and classification are key points for differential analysis of proteomic studies and diagnostic tests. A MRM analytical chain is a cascade of molecular events depicted by a graph structure, each node being associated to a molecular state such as protein, peptide or ion and each branch to a molecular processing. Each protein is associated to a set of transition measurements. One key question is how to infer the protein level and the class label. We propose to compare a hierarchical model based Bayesian Hierarchical Inversion combining all transitions and a non-linear processing based on logarithmic transformation of standardized peak value combined with a median filter. Classification performances are evaluated on a colorectal cancer cohort for LFABP and PDI biomarkers.
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Contributor : Pascal Szacherski Connect in order to contact the contributor
Submitted on : Wednesday, November 27, 2013 - 9:21:34 AM
Last modification on : Tuesday, December 7, 2021 - 12:06:12 PM
Long-term archiving on: : Friday, February 28, 2014 - 4:37:16 AM


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  • HAL Id : hal-00909875, version 1


Pascal Szacherski, Laurent Gerfault, Jean-François Giovannelli, Audrey Giremus, Pierre Mahé, et al.. MRM protein quantification and serum sample classification. 61st conference of the American Society of Mass Spectrometry, Jun 2013, Minneapolis, United States. ⟨hal-00909875⟩



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