Professor Kim-Anh Le Cao is form the University of Melbourne, and she presented this seminar at the Research School of Finance, Actuarial Studies and Statistics at the ANU on Thursday 4 May. I joined at least dozen people in person, and there were more online.
She started gently, studying group, time and interaction effects in microbiome data. Then she drew in more types of -omics and introduced us to the PCA-like dimension reduction techniques commonly used, followed up by maximising correlation between derived scores from the different -omics data sets. Final plots showing time profiles (that hopefully cluster in some meaningful way) was a tour de force in data reduction.
Further challenges in modelling remain, especially around concepts of abundance be they raw measure or relative measures (like compositional data). Plenty to be going on with for early career researchers at the interface between statistical and biology!
aliceinstatisticsland 