Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem

Pascal Szacherski; Jean-François Giovannelli; Laurent Gerfault; Pierre Mahé; Jean-Philippe Charrier; Audrey Giremus; Bruno Lacroix; Pierre Grangeat

doi:10.1109/ACCESS.2014.2359979

Journal articles

Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem

Pascal Szacherski ¹ Jean-François Giovannelli ² Laurent Gerfault ¹ Pierre Mahé ³ Jean-Philippe Charrier ⁴ Audrey Giremus ⁵ Bruno Lacroix ⁶ Pierre Grangeat ^{1, *}

* Corresponding author

1 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information

2 IMS - Laboratoire de l'intégration, du matériau au système

3 CBIO - Centre de Bioinformatique

4 Recherche Technologique, bioMerieux SA

5 UB - Université de Bordeaux

6 Biomérieux Lyon

Abstract : The cells in an organism emit different amounts of proteins according to their clinical state (healthy/pathological, for instance). The resulting proteomic profile can be used for early detection, diagnosis, and therapy planning. In this paper, we study the classification of a proteomic sample from the point of view of an inverse problem with a joint Bayesian solution, called inversion-classification. We propose a hierarchical physical forward model and present encouraging results from both simulation and clinical data.

Keywords : mass spectrometry liquid inverse problems mathematical modelling classification algorithms probability proteins proteomics selective reaction monitoring INDEX TERMS Statistical signal processing chromatography

Document type :

Journal articles

Domain :

Computer Science [cs] / Signal and Image Processing

Complete list of metadata

Cited literature [47 references] Display Hide Download

https://hal-cea.archives-ouvertes.fr/cea-01615512
Contributor : Pierre Grangeat <>
Submitted on : Thursday, October 12, 2017 - 2:51:11 PM
Last modification on : Tuesday, December 8, 2020 - 10:31:39 AM

Szacherski-proteomic-classific...

Files produced by the author(s)

Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem

File

Identifiers

Collections

Citation

Export

Metrics

667

349

Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem

File

Identifiers

Collections

Citation

Export

Share

Metrics

667

349