MutiMiRNA_CRModel {IDMIR} | R Documentation |
MutiMiRNA_CRModel
Description
Function "MutiMiRNA_CRModel" can build a multivariate Cox model through integrating the models constructed separately based on different mirna targets.
Usage
MutiMiRNA_CRModel(ExpData, MiRNAs,SurvivalData,cutoff.point=NULL)
Arguments
ExpData |
A gene expression profile of interest (rows are genes, columns are samples). |
MiRNAs |
An interest miRNA vector. |
SurvivalData |
Survival data (the column names are: "sample", "status", and "time") corresponding to the samples in gene expression profile of interest. |
cutoff.point |
A numeric value used to divide high-risk and low-risk groups. |
Value
A list includes a data frame with seven parts those are "sample", "status", "time", "target gene expression", "risk score", "group", and a data frame with five columns those are "Gene", "HR", "HR.95L", "HR.95H", "beta", and "P-value".
Examples
# Obtain the example data
GEP<-GetData_Mirna("GEP")
survival<-GetData_Mirna("survival")
MiRNAs<-c("hsa-miR-21-5p","hsa-miR-26a-5p","hsa-miR-369-5p","hsa-miR-1238-3p","hsa-miR-10b-5p")
# Run the function
MutiMiRNA_CRData<-MutiMiRNA_CRModel(GEP,
MiRNAs,survival,cutoff.point=NULL)
[Package IDMIR version 0.1.0 Index]