| anovaLike | R Documentation | 
This function executes in a docker edgeR for the idnetification of differentially expressed genes in single-cells RNAseq
anovaLike(
  group = c("sudo", "docker"),
  file,
  sep,
  cluster.file,
  ref.cluster,
  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  | 
file | 
 a character string indicating the counts table file with the path of the file.  | 
sep | 
 separator used in count file, e.g. '\t', ','  | 
cluster.file | 
 a character string indicating the _clustering.output.txt file of interest, generated by bootstrapSimlar or bootStrapTsne. IMPORTANT this file miust be located in the same folder where counts.table is placed  | 
ref.cluster | 
 a number indicating the cluster to be used a reference for anova-like comparison with the other clusters.  | 
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 | 
 boolean, TRUE a plot of differentially expressed genes is generated  | 
Three tab delimited files file with prefix DE\_, filtered\_DE\_, logFC\_filtered\_DE\_ followed by the counts table name, the count table, reordered on the basis of cluster positions, has the extension \_reordered.txt
Raffaele Calogero, raffaele.calogero [at] unito [dot] it, University of Torino, Italy
## Not run: 
    #running deDetection
system("wget http://130.192.119.59/public/annotated_setPace_10000_noC5_clustering.output.txt")
system("wget http://130.192.119.59/public/annotated_setPace_10000_noC5.txt.zip")
unzip("annotated_setPace_10000_noC5.txt.zip")
anovaLike(group="docker", file=paste(getwd(),"annotated_setPace_10000_noC5.txt",sep="/"),
       sep="\t", cluster.file="annotated_setPace_10000_noC5_clustering.output.txt", ref.cluster=3,
       logFC.threshold=1, FDR.threshold=0.05, logCPM.threshold=4, plot=TRUE)
## End(Not run)
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