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Hi, I’m having trouble reproducing the diabetes data analysis described in the article "spicyR: spatial analysis of in situ cytometry data in R". I am following the script available on GitHub, but I’m stuck at creating the correct object to pass to the spicy function because I don’t have access to the SegmentedCell function and the imagePheno function.
Could you explain what the SegmentedCell function does and how I can work around this issue?
Thank you for your time!
The text was updated successfully, but these errors were encountered:
The code base for spicyR has evolved a lot since it was put on Bioconductor in 2020. SegmentedCell no longer exists, with spicyR now accepting a SingleCellExperiment or SpatialExperiment. As long as you have one of those with 1) image identifiers, 2) cell type labels and 3) x-y coordinates, then you should be good to go. You can find the vignette here... https://www.bioconductor.org/packages/release/bioc/vignettes/spicyR/inst/doc/spicyR.html
Are you specifically trying to replicate the diabetes findings? If so, it might be productive to zoom with @shreyarajeshrao who should be able to talk you through the analysis and how she interprets the findings.
Hi, I’m having trouble reproducing the diabetes data analysis described in the article "spicyR: spatial analysis of in situ cytometry data in R". I am following the script available on GitHub, but I’m stuck at creating the correct object to pass to the spicy function because I don’t have access to the SegmentedCell function and the imagePheno function.
Could you explain what the SegmentedCell function does and how I can work around this issue?
Thank you for your time!
The text was updated successfully, but these errors were encountered: