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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Communication dans un congrès
61st conference of the American Society of Mass Spectrometry, Jun 2013, Minneapolis, United States
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https://hal.archives-ouvertes.fr/hal-00909875
Contributeur : Pascal Szacherski <>
Soumis le : mercredi 27 novembre 2013 - 09:21:34
Dernière modification le : vendredi 12 octobre 2018 - 10:46:02
Document(s) archivé(s) le : vendredi 28 février 2014 - 04:37:16

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ASMS_2013-abstract-V6.pdf
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  • HAL Id : hal-00909875, version 1

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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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