Defense: Dynamics and Correlated Noise in Gene Regulation

Mary Dunlop

Gene regulatory interactions are context dependent, active in some cell types or cellular states but not in others. I will present a method for determining when a regulatory link is active given temporal measurements of gene expression. Correlations in time series data are used to determine how genes influence each other and their causal relationships.

Natural stochastic noise is shown to aid in the process of network identification by perturbing the expression of genes; the speed and direction at which the noisy signal propagates shows how the network is connected.