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Summarise / aggregate sample

Open royfrancis opened this issue 2 years ago • 0 comments

My original data is at well level (in a 384 well plate). There are multiple biological and technical replicates for each sample. For exploration, i would like well level data (to get an idea of spread), followed by some filtering, but for some analysis, I would prefer sample level data. ie; wells (bio and/or technical replicates) summarised down to sample level. Not sure how to go about doing this.

For example, this would give a matrix of 300 x 300

imm_ov1 <- repOverlap(immdata$data, .method = "public", .verbose = F)
vis(imm_ov1)

What I really need is at tissue level (which should be about 24x24)

vis(imm_ov1, .by = "tissue", .meta = immdata$meta)

Are there functions for this or should i do this manually?

>> packageVersion("immunarch")
[1] ‘0.9.0’

royfrancis avatar Aug 14 '23 11:08 royfrancis