PostProcessing {Sconify} | R Documentation |
Performs final processing and transformations on the scone data
PostProcessing(scone.output, cell.data, input, tsne = TRUE, log.transform.qvalue = TRUE)
scone.output |
tibble of the output of the given scone analysis |
cell.data |
the tibble used as input for the scone.values function |
input |
the input markers used for the knn calculation (to be used for tsne here) |
tsne |
boolean value to indicate whether tSNE is to be done |
log.transform.qvalue |
boolean to indicate whether log transformation of all q values is to be done |
result: the concatenated original input data with the scone derived data, with the option of the q values being inverse log10 transformed, and two additional tSNE columns being added to the data (from the Rtsne package)
PostProcessing(wand.scone, wand.combined, input.markers, tsne = FALSE)