Extracting biological meaning from spatial omics data requires not just fancy analytical methods, but a solid appreciation for when and where applying them will provide insight. In this talk I will introduce some of the statistical approaches my team has been developing to quantify how changes in cell interactions, spatial heterogeneity, and microenvironment composition are associated with disease. I will also attempt to provide some practical advice on making informed, strategic choices in spatial analysis so as to make complex spatial omics data easier to interpret and more suitable for generating robust, reproducible conclusions.
Ellis Patrick is an applied statistician and bioinformatician. He is an Associate Professor in the School of Mathematics and Statistics, a faculty member at the Westmead Institute for Medical Research, and the Cluster Lead for Bioinformatics in the Sydney Precision Data Science Centre. He builds and maintains open-source software in the Bioconductor ecosystem and enjoys mentoring early career bioinformaticians, running practical workshops, and helping research groups design analyses that are robust, reproducible, and actually useful.