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View Code? Open in Web Editor NEWstPlus: reference-based enhancement of spatial transcriptomics
License: MIT License
stPlus: reference-based enhancement of spatial transcriptomics
License: MIT License
Hello~shengquan, I recently read your paper "stPlus: a reference-based method for the accurate enhancement of spatial transcriptomics". I think stPlus is very useful for reference. However, I got many errors when I run Seurat and liger, I have tried many ways to solve it, but it has not been solved yet. Could you please upload your R code? thanks
My system have very old NVIDIA card, that pytorch don't support. I want to run on cpu but there is no option in stPlus.
Hi, I'm interesting about your work. But I'm not a expert on bio, there have some question I want to ask, I'll appreciate it if you can help me.
Let begin with data, does your cell
in spatial data means spot
?
Suppose spatial_df
have n
gene with m
spots, scRNA
have k
gene with l
cells. First you pad 0
on spatial_df
on gene to get spatial_df
have k
gene with m
spots.
Then what confused me is how merge and shuffle done. Do the two of them sort alternately? like this[scRNA[0], spatial_df[0], scRNA[1], spatial_df[1], ..., scRNA[m], spatial_df[m], scRNA[m+1], scRNA[l]]
.
Do I understand correctly? The question is why do like this?
I hope you can help me! Thanks a lot.
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