permAnalysisGriph.Rd
This function analyze the data that came up from permutationClustering script.
permAnalysisGriph(
group = c("sudo", "docker"),
scratch.folder,
file,
nCluster,
separator,
sp = 0.8
)
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 cluster that has to be analyzed
separator used in count file, e.g. '\t', ','
minimun number of percentage of cells that has to be in common between two permutation to be the same cluster.
stability plot for each nCluster,two files with score information for each cell for each permutation.
if (FALSE) {
system("wget http://130.192.119.59/public/section4.1_examples.zip")
unzip("section4.1_examples.zip")
setwd("section4.1_examples")
system("wget ftp://ftp.ensembl.org/pub/release-94/gtf/homo_sapiens/Homo_sapiens.GRCh38.94.gtf.gz")
system("gzip -d Homo_sapiens.GRCh38.94.gtf.gz")
system("mv Homo_sapiens.GRCh38.94.gtf genome.gtf")
scannobyGtf(group="docker", file=paste(getwd(),"bmsnkn_5x100cells.txt",sep="/"),
gtf.name="genome.gtf", biotype="protein_coding",
mt=TRUE, ribo.proteins=TRUE,umiXgene=3)
seuratBootstrap(group="docker",scratch.folder="/data/scratch/",
file=paste(getwd(), "annotated_bmsnkn_5x100cells.txt", sep="/"),
nPerm=160, permAtTime=8, percent=10, separator="\t",
logTen=0, pcaDimensions=6, seed=111)
}