Bayesian approach for predicting responses to therapy from high-dimensional time-course gene expression profiles.

The proposed method accurately predicted response to therapy using data at multiple time points. It showed higher accuracies at early time points compared to those of conventional methods. Furthermore, this method successfully selected genes that were directly associated with diseases.