This function executes a ubuntu docker that produces a specific number of permutation to evaluate the range of optimal number of clusters using griph algorithm. For more info see rCASC vignette.

clusterNgriph(
group = c("sudo", "docker"),
scratch.folder,
file,
nPerm,
permAtTime,
percent,
separator,
logTen = 0,
seed = 111
)

## Arguments

group, a character string. Two options: sudo or docker, depending to which group the user belongs a character string indicating the path of the scratch folder a character string indicating the path of the file, with file name and extension included number of permutations to perform number of permutations that can be computed in parallel percentage of randomly selected cells removed in each permutation separator used in count file, e.g. '\t', ',' 1 if the count matrix is already in log10, 0 otherwise important value to reproduce the same results with same input

## Value

A folder Results containing a folder with the name of the experiment, which contains: VioPlot of silhouette cells value for each number of cluster used, a folder with the number of clusters selected as optimal by griph, which contains: clusterP file with clustering results for each permutation, killedCell file with removed cells in each permutation, clustering.output a sommarize file with general information for each cells, hist.pdf describing the number of times a specific number of clusters was used during permutations

## Author

Luca Alessandri, alessandri [dot] luca1991 [at] gmail [dot] com, University of Torino

## Examples

if (FALSE) {
clusterNgriph(group="docker",scratch.folder="/data/scratch/",file=paste(getwd(), "bmsnkn_5x100cells.txt", sep="/"), nPerm=16, permAtTime=8, percent=10, separator="\t",logTen=0, seed=111)
}