PostProcessing {Sconify} | R Documentation

## Post-processing for scone analysks.

### Description

Performs final processing and transformations on the scone data

### Usage

    PostProcessing(scone.output, cell.data, input, tsne = TRUE,
      log.transform.qvalue = TRUE)

### Arguments

`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

### Value

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)

### Examples

    PostProcessing(wand.scone, wand.combined, input.markers, tsne = FALSE)

[Package Sconify version 1.2.1 Index]