Description Usage Arguments Details Value See Also Examples
Given a timeline of experiments resulting from RmiR
or read.mir
, it calculates the correlation between the trend of miRNA and corresponding gene targets.
1 2 | RmiRtc(timeline = NULL, timevalue = NULL, method = "pearson")
readRmiRtc(miRtcObj, correlation = -0.75, exprLev = 1, annotation= NULL, fileName = "miRNA_for_genes")
|
timeline |
A vector with the names of the experiments resulting from |
timevalue |
A vector of numbers with the unity of time correspondig to |
method |
Method to use to calculate the correlation between miRNA and gene expression, default is "pearson". For other see |
miRtcObj |
An object resulting from |
annotation |
The annotation package to retrive the corresponding symbol given the |
correlation |
The correlation level desired to filter the |
exprLev |
The absolute value of gene expression as cut-off to filter the |
fileName |
The file name to print the file with the gene targets with the number of miRNAs matching the |
RmiRtc
creates an miRtcList
wich includes all the information of the time course experiment: couples of miRNA and gene target, expression of gene and miRNA in the time, the correlation between the miRNA and the gene expression trends.
readRmiRtc
subsets the miRtcList
created with RmiRtc
. We can select a correlation level, if positive we select the correlated genes and miRNas, if negative the anti-correlated couples. Also we can decrease the data by setting a log ratio cut off for the gene expression, to select only the case which the a gene is op or down regulated.
couples |
The couples of |
mirExpr |
A matrix with the expression of miRNA in order by |
geneExpr |
A matrix with the expression of miRNA in order by |
mirCV |
A matrix with the coefficents of variation of the miRNAs from |
geneCV |
A matrix with the coefficents of variation of the genes resulting from |
correlation |
A vector with the correlation value between miRNAs and gene targets. |
reps |
With |
1 2 3 4 5 6 7 8 9 10 11 | ##An example without the data
data(RmiR)
res1 <- read.mir(genes=gene1, mirna=mir1, annotation="hgug4112a.db")
res2 <- read.mir(genes=gene2, mirna=mir2, annotation="hgug4112a.db")
res3 <- read.mir(genes=gene3, mirna=mir3, annotation="hgug4112a.db")
res_tc <- RmiRtc(timeline=c("res1", "res2", "res3"),
timevalue=c(12,48,72))
res <- readRmiRtc(res_tc, correlation=-0.9, exprLev=1,
annotation="hgug4112a.db")
res$reps
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.