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The function "IdentifyMiRNA" is used to identify significantly dysregulated miRNAs by calculating the eigenvector centrality of miRNAs.
IdentifyMiRNA(GDEscore.table,nperm=1000,damping=0.90)
A data frame with seven columns those are "MiRNA", "Target", "Number" (number of targets), "Score" (Centrality score), "P-value", and "FDR".
A matrix with one column of GDEscore.
The Number of random permutations (default: 100).
Restart the probability of the random-walk algorithm (default: 0.9).
# Obtain the example data GEP<-GetData_Mirna("GEP") label<-GetData_Mirna("label") # Run the function GDEscore<-GetGDEscore(GEP,label) MiRNAScore<-IdentifyMiRNA(GDEscore,nperm=5, damping=0.90)
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