deDetection | R Documentation |
This function executes in a docker edgeR for the idnetification of differentially expressed genes in single-cells RNAseq
deDetection(
group = c("sudo", "docker"),
data.folder,
counts.table,
file.type = c("txt", "csv"),
logFC.threshold = 1,
FDR.threshold,
logCPM.threshold = 4,
plot = c(TRUE, FALSE)
)
group |
a character string. Two options: sudo or docker, depending to which group the user belongs |
data.folder |
a character string indicating the folder where input data are located and where output will be written |
counts.table |
a character string indicating the counts table file. IMPORTANT in the header of the file the covariate group MUST be associated to the column name using underscore, e.g. cell1_cov1 |
file.type |
type of file: txt tab separated columns csv comma separated columns |
logFC.threshold |
minimal logFC present in at least one of the comparisons with respect to reference covariate |
FDR.threshold |
minimal FDR present in at least one of the comparisons with respect to reference covariate |
logCPM.threshold |
minimal average abundance |
plot |
TRUE if differentially expressed genes are represented in a plot. |
Raffaele Calogero, raffaele.calogero [at] unito [dot] it, University of Torino, Italy
## Not run:
#running deDetection
system("wget http://130.192.119.59/public/buettner_counts_noSymb.txt.zip")
unzip("buettner_counts_noSymb.txt.zip")
lorenzFilter(group="docker", scratch.folder="/data/scratch/",
data.folder=getwd(), matrixName="buettner_counts_noSymb",
p_value=0.05, format="txt", separator='\t')
system("wget ftp://ftp.ensembl.org/pub/release-92/gtf/mus_musculus/Mus_musculus.GRCm38.92.gtf.gz")
system("gzip -d Mus_musculus.GRCm38.92.gtf.gz")
scannobyGtf(group="docker", data.folder=getwd(),
counts.table="lorenz_buettner_counts_noSymb.txt",
gtf.name="Mus_musculus.GRCm38.92.gtf",
biotype="protein_coding", mt=FALSE, ribo.proteins=FALSE,
file.type="txt", umiXgene=3)
deDetection(group="docker", data.folder=getwd(),
counts.table="annotated_lorenz_buettner_counts_noSymb.txt",
file.type="txt", logFC.threshold=1, FDR.threshold=0.05, logCPM.threshold=4, plot=TRUE)
## End(Not run)
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