CSTAT 2026 Spring Semester - Statistical Analysis of Spatial RNA-seq Data

Presenter: Dr. Yunesi Arash
Date: April 3, 2026
Title: Statistical Analysis of Spatial RNA-seq Data

Spatial RNA-seq technologies are the newest member of this group of RNA-seq technologies. For spatial RNA-seq, thin slices of tissue are sequenced or imaged and thus the spatial information of the measurements is retained. The spatial RNA-seq technologies are divided into two subgroups, sequencing-based and imaging-based methods. For this workshop we focus on sequencing-based methods, however the analyses can be applied to imaging-based technologies as well. We will cover preprocessing, quality control, spatially variable gene selection, variance stabilizing transformations, domain detection and unsupervised clustering, cell-type deconvolution, marker gene selection, and many interesting visualizations. Bring your own laptop.