Statistical Analysis of spatial RNA-seq Data

CSTAT Seminar series: Statistical Analysis of RNA-seq Data  Part 3

Dr. Arash Yunesi, Michigan State University, CSTAT

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.

This Workshop will have a non-refundable $10 registration fee to reserve your spot, paid through Eventbrite at registration. 

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