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In this lecture, we will learn how to analyze spatial transcriptomics data to distinguish spatially variable genes that exhibit coordinated spatial variation, from genes that may be highly variable but in a less spatially coordinated manner using the Moran's I statistic. Key moments: Main Lecture on Moran's I as applied to spatial transcriptomics data: • Using Moran's I to identify spatially vari... Practice: • Using Moran's I to identify spatially vari... Evaluating the statistical significance of Moran's I under spatial randomness null model: • Using Moran's I to identify spatially vari... Coding demo using MERINGUE to apply Moran's I: • Using Moran's I to identify spatially vari... Alternative ways of encoding adjacency relationships: • Using Moran's I to identify spatially vari... Additional relevant coding tutorials and resources: Additional packages for running Moran's I in R: https://jef.works/blog/2024/08/29/the... Combining MERINGUE with SEraster for faster analysis of spatially variable genes: https://jef.works/blog/2024/03/24/spa... MERINGUE paper: https://jef.works/assets/papers/Mille... MERINGUE website with additional tutorials: https://jef.works/MERINGUE/ Music by Christoph Scholl: https://pixabay.com/users/tuesdaynigh...