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Cytometry by time-of-flight(CyTOF) data is very useful in studying the presence/absence of antigens/surface markers at single cell level. There are multiple tools to analyze CyTOF data but here I am presenting a tutorial of how one can quickly use Seurat (R package for scRNA-Seq analysis) for analyzing CyTOF data and understand the cellular and phenotypic diversity

License: GNU General Public License v3.0

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analyze_cytof_using_seurat's Issues

Newbie question about feasibility

Hi there,

I have a large CyTOF dataset (10s of millions of cells), with immune lineages sub-clustered in CATALYST by FlowSOM. Each immune lineage data and subclustering is stored in a separate single cell experiment (sce) object. I have another similar CyTOF dataset (~10 million cells) that I want to map onto the FlowSOM clustering of the first dataset. I was just wondering if this is at all possible using Seurat on a regular laptop?

Thanks very much.

Getting error in running your code

Hello

I am pursuing your tutorial but I get this error

> fcs_1 <- fsApply(fcs_raw1, function(x, cofactor = 5){
+   
+   colnames(x) <- panel_fcs_raw1$desc
+   
+   expr <- exprs(x)
+   
+   expr <- asinh(expr[, c(panel_fcs_raw1$desc)] / cofactor)
+   
+   exprs(x) <- expr
+   
+   x
+   
+ })
Error in expr[, c(panel_fcs_raw1$desc)] : subscript out of bounds

Please can you help me with this?

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