MiloR in spatial transcriptomics data

[zeniazen5]

Hey there,

I used MiloR to analyze single cell RNA seq data and currently we are wondering if it could be implemented in spatial transcriptomics analysis in comparing distances across conditions.

Using the k nearest neighbor approach in a spatial graph and the statistical analysis of the implemented MiloR to compare two different conditions.

Let me know your thoughts on this and if you find it a good idea in implementig it!

Thank you in advance!
Best
Zenia

[MikeDMorgan]

Hi @zeniazen5 - fundamentally Milo assumes there is a shared space in which the cell-to-cell relationships are represented in a graph. Therefore, that requires different cells from different samples to be placed into a common space, which I assume is what you refer to as a spatial graph - do you compute this over all samples so that all cells are placed into the same space?