Description Usage Arguments Details Value Author(s) See Also Examples
Convert a two-color targets dataframe with one row per array to one with one row per channel.
1 |
targets |
data.frame with one row per array giving information about target samples associated covariates. |
channel.codes |
numeric or character vector of length 2 giving codes for the channels |
channel.columns |
named list of character vectors of length 2.
Each entry gives a pair of names of columns in |
grep |
logical, if |
The targets
dataframe holds information about the RNA samples used as targets in the microarray experiment.
It is often read from a file using readTargets
.
This function is used to convert the dataframe from an array-orientated format with one row for each array and two columns for the two channels into a channel-orientated format with one row for each individual channel observations.
In statistical terms, the first format treats the arrays as cases and treats the channels as repeated measurements.
The second format treats the individual channel observations as cases.
The second format may be more appropriate if the data is to be analyzed in terms of individual log-intensities.
data.frame with twice as many rows as targets
.
Any pair of columns named by channel.columns
will now be one column.
Gordon Smyth
targetsA2C
is used by the coerce
method from RGList
to ExpressionSet
in the convert package.
An overview of methods for single channel analysis in limma is given by 07.SingleChannel.
1 2 | targets <- data.frame(FileName=c("file1.gpr","file2.gpr"),Cy3=c("WT","KO"),Cy5=c("KO","WT"))
targetsA2C(targets)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.