Kim Kenobi

I joined CPIB in June 2008 as a statistician. My main role is to use time-course transcriptomics data sets and qPCR experiments to infer gene regulatory networks. I am exploring a range of linear modelling techniques to pick out key regulatory genes from the data sets and to liaise with the biologists on the project to identify good targets for gene knock-out and other experiments.Since the data sets are large, typically including a few thousand differentially expressed genes, I am looking at different ways to cluster the gene sets before applying modeling strategies. I hope that once the genes are clustered into meaningful groups it will be possible to infer relationships between those groups and establish which genes are influencing which others.

erc-svg