seuratPrior | R Documentation |
This function executes a ubuntu docker that produces a specific number of permutation to evaluate clustering.
seuratPrior(
group = c("sudo", "docker"),
scratch.folder,
file,
separator,
logTen = 0,
seed = 111,
PCADim,
geneNumber,
nCluster,
sparse = FALSE,
format = "NULL"
)
group |
a character string. Two options: sudo or docker, depending to which group the user belongs |
scratch.folder |
a character string indicating the path of the scratch folder |
file |
a character string indicating the path of the file, with file name and extension included |
separator |
separator used in count file, e.g. '\t', ',' |
logTen |
1 if the count matrix is already in log10, 0 otherwise |
seed |
important value to reproduce the same results with same input |
PCADim |
dimensions of PCA for seurat clustering |
geneNumber |
numbers of specific genes for each clusters |
nCluster |
number of cluster analysis. |
sparse |
boolean for sparse matrix |
format |
output file format |
....
Luca Alessandri, alessandri [dot] luca1991 [at] gmail [dot] com, University of Torino
## Not run:
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)
seuratPrior(group="docker", scratch.folder="/data/scratch/", file=paste(getwd(), "annotated_bmsnkn_5x100cells.txt", sep="/"), separator="\t", logTen=0, seed=111, PCADim=6, geneNumber = 100, nCluster=5)
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.