averagePlot: Returns the average profile of tiling array probe intensity...
In groHMM: GRO-seq Analysis Pipeline
Description
Usage
Arguments
Value
Author(s)
Description
Supports parallel processing using mclapply in the 'parallel' package.
To change the number of processors, use the argument 'mc.cores'.
Usage
1
averagePlot(ProbeData, Peaks, size = 50, bins = seq(-1000, 1000, size))
Arguments
ProbeData
Data.frame representing chromosome, window center,
and a value.
Peaks
Data.frame representing chromosome, and window center.
size
Numeric. The size of the moving window. Default: 50 bp.
bins
The bins of the meta gene – i.e. the number of moving windows
to break it into. Default +/- 1kb from center.
Value
A vector representing the 'typical' signal centered on the peaks of
interest.
Author(s)
Charles G. Danko and Minho Chae
groHMM documentation built on Nov. 8, 2020, 8:09 p.m.
R Package Documentation
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Description Usage Arguments Value Author(s)
Description
Supports parallel processing using mclapply in the 'parallel' package. To change the number of processors, use the argument 'mc.cores'.
Usage
1 | averagePlot(ProbeData, Peaks, size = 50, bins = seq(-1000, 1000, size))
|
Arguments
ProbeData |
Data.frame representing chromosome, window center, and a value. |
Peaks |
Data.frame representing chromosome, and window center. |
size |
Numeric. The size of the moving window. Default: 50 bp. |
bins |
The bins of the meta gene – i.e. the number of moving windows to break it into. Default +/- 1kb from center. |
Value
A vector representing the 'typical' signal centered on the peaks of interest.
Author(s)
Charles G. Danko and Minho Chae
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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