Classification Of Proteomic Ms Data As Bayesian Solution Of An Inverse Problem
Access, IEEE (2014)
摘要
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.
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关键词
Statistical signal processing,inverse problems,mathematical modelling,classification algorithms,probability,proteins,proteomics,selective reaction monitoring,mass spectrometry,liquid chromatography
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