Figure 3
Identification of disease progression genes: (a) Convergence properties of sparse partial least squares regression model to identify disease progression (DP) transcripts: Minimum Root Mean Squared Prediction Error (RMSE) of the regression model after each function iteration for macula and periphery (upper panel). Value of dDiabetic and dNPDR model hyperparameters for the best model fit at each function iteration (middle panel) for macula and periphery samples. Number of selected transcripts (n) for the best model fit at each function iteration (lower panel). (b) Comparison of identified DP RNA with RNA identified from differential gene expression analysis (upper panel) and corresponding two-set intersects (lower right panel). Values in the lower right panel denote BH adjusted p values (hypergeometric test).
