ceRNA.cmi: identifying miRNA sponge interactions using ceRNA.cmi...

Description Usage Arguments Details Value References Examples

View source: R/ceRNA.cmi.R

Description

identifying miRNA sponge interactions using ceRNA.cmi.In this function We implement CMI methods to identify miRNA sponge interactions.

Usage

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ceRNA.cmi(miRtar, targetce = NULL, geneexp, miRexp, numMIR = 1, num_perm = 100, 
cutoff = 0.05)

Arguments

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)).

geneexp

An input target expression data frame, the columns are genes and the rows are samples.The expression value may be gene expression ,non-coding RNA expression or expression values of circRNAs and so on.

miRexp

An input miRNA expression data frame, the columns are miRNA and the rows are samples.

numMIR

a numeric vector that specify the minimum number of 2 gene-shared miRNAs

num_perm

The number of random default(num_perm=100).

cutoff

a numeric vector of the form method specifying threshold between ceRNA interactions default(cutoff=0.05).

Details

Note:All the arguments without default value must be assigned.The miRNA in the file of the target-miRNA regulatory relationship pair should also be present in the expression profile data file.

Value

A list of identified miRNA sponge interactions containing following components:

References

Sumazin P , Yang X , Chiu H S , et al. An Extensive MicroRNA-Mediated Network of RNA-RNA Interactions Regulates Established Oncogenic Pathways in Glioblastoma[J]. Cell, 2011, 147(2):0-381.

Examples

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##identifying miRNA sponge interactions.
##Here we take six candidate targets(modulators) and corresponding expression 
##data for example,Specify target(PTEN) to predict ceRNA interaction.
ceRNA.cmi(miRtar=dataset[["miRtar"]], targetce = "PTEN", geneexp=dataset[["geneexp"]],
          numMIR = 1, miRexp=dataset[["miRexp"]],num_perm=50)

CeRNASeek documentation built on April 29, 2020, 9:37 a.m.