spatial registration of snRNAseq data

[abspangler13]

• run spatial registration with top 100 genes instead of all genes
• make spatial registration plot for just the excitatory clusters.
• for plots comparing against my data, add biological label to my clusters. Ex. ~layer 5
• summarize all spatial registration comparisons by setting an arbitrary cutoff and make a heatmap indicating whether each snRNAseq cluster (x-asis) passes that cutoff. https://jhu-genomics.slack.com/archives/C01EA7VDJNT/p1657298131406139
• perform spatial registration of snRNAseq data against allen brain layers. Find code from the pilot paper where they did this. https://github.com/LieberInstitute/HumanPilot/tree/master/Analysis/allen_data
• fixes to spatial registration function: sample ID column must be labeled "sample_id", must have ensembl id (not gene names) as the rownames

[abspangler13]

This is done. Plots and modeling results are saved. Plots will probably need polished or maybe you'll decided to combine them into a summary plot in some way.

[lcolladotor]

This has been completed recently by @lahuuki