Over the last few years, we have been developing statistical methods to remove unwanted variation from modern high-throughput “omic” data.  Unwanted variation can arise from technical aspects such as studies to be combined, batches, different platforms or laboratories, or from biological signals such as heterogeneity in ages or different ethnic groups which are unrelated to the factors of interest in the study. It can affect gene expression, methylation and other kinds of microarrays, RNA-seq data, as well as proteomic and metabolomic data. Several external collaborators are also involved in this project.

Team members: Zhiping Feng, Terry Speed