Description Usage Arguments Details Value References Examples
This function predicts ceRNA interactions by ratio or hypergeometric test.
1 2 | ceRNA.basic(miRtar, targetce = NULL, method = "ratio", numMIR = 1,
cutoff = ifelse(method == "ratio", 1/3, 0.05))
|
miRtar |
A data frame representing the relationship between miRNA and target. The data frame contains the name of the miRNA and target regulatory relationship. |
targetce |
a character string (vector) specifying candidate target name to analyse (default (targetce = NULL)). |
method |
a character string (default "ratio") indicating which statistical method to choose to calculate the ceRNA interaction relationship. One of "ratio" (default), or "hypergeometric", can be abbreviated. |
numMIR |
a numeric vector that specify the minimum number of 2 gene-shared miRNAs |
cutoff |
a numeric vector of the method("ratio","hypergeometric") specifying threshold between ceRNA interactions .(default (1/3)). |
Note:All the arguments without default value must be assigned.
A list of identified miRNA sponge interactions containing following components:
cesig
predicted significant triplets and related information,a 5 columns dataframe as following:
targetce
represented target names,respectively.
anotherce
names of modulators that another target(modulators) constitutes a ceRNA interaction relation.
miRNAs
names of miRNA shared by two targets.
miRNAs_num
number of miRNAs shared by two targets.
ratio/pvalue
The ratio/pvalue(optional for method("ratio","hypergeometric")) of the identified ceRNA interaction relation.
cenotsig
predicted not significant triplets and related information,a 5 columns dataframe as following:
targetce
same as targetce
in cesig
anotherce
same as anotherce
in cesig
miRNAs
same as miRNAs
in cesig
miRNAs_num
same as miRNAs_num
in cesig
pvalue
same as pvalue
in cesig
Xu J , Feng L , Han Z , et al. Extensive ceRNA–ceRNA interaction networks mediated by miRNAs regulate development in multiple rhesus tissues[J]. Nucleic Acids Research, 2016:gkw587.
1 2 3 | ##identifying miRNA sponge interactions
##Here we take six candidate targets(modulators) for example
ceRNA.basic(miRtar=dataset[["miRtar"]],targetce=NULL,method="ratio",numMIR = 1,cutoff =1/3)
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