Gene Expression Classification Based on Metabolic Modeling

In this study we set out to integrate between CBM and transcriptomic classification by exploiting the metabolic model to aid and improve the classification. The objective is to generate a paradigm that would enable the classifier to account for the metabolic aspects that are concealed in the expression data. To do so, we applied different methods of CBM to preprocess the samples for classification. To experiment and validate the different possibilities, we used gene expression in brain and in liver of laboratory mice, fed one of four different diets.

See introduction to transcriptomic classification and CBM for more information.