Statistical model based prediction of protein levels
Trajectories of levels of certain key proteins serve as an important signature for various diagnostic purposes. The goal of the project is to develop a statistical model and to constrain the model with experimental data to predict these trajectories. Experimental time-course data measured in-house in an ensemble of cells is already available. The project will involve performing extensive computations using Matlab or Python.