Fig. 1

Graphical overview of the study design. This study included two supervised and unsupervised classification sections. At the supervised classification part, we used a machine learning approach to identify a set of genes whose expression patterns could discriminate T2DM individuals from healthy ones. At the unsupervised section, the clustering of T2DM patients was employed for potential subtyping of the disease