Computational Approach to Microarray and System Biology analysis
Increasingly, biological processes are being studied through the expression data collected for large numbers of genes. I will present statistical and wavelet algorithms applicable to RNA and protein expression data, demonstrate their application to published yeast RNA expression time series and present issues related to statistical assessment of considering multiple time series from repeated experiments.
Using the output from these algorithms, I will consider Bayesian models and stochastic search techniques to identify gene network elements.
Recently, I started working on modelling liver and microcirculation in health and disease condition. I will show preliminary results of this system biology project using cellular automata and advection-diffusion models.