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affypdnn (version 1.46.0)

matplotProbesPDNN: Plot the PDNN computed probe intensities

Description

Plot the probe intensities as computed by 'pmcorrect.pdnn' or 'pmcorrect.pdnnpredict'

Usage

matplotProbesPDNN(x, type="l", ...)

Arguments

x
a matrix (and attributes) as returned by pmcorrect.pdnn or pmcorrect.pdnnpredict.
type
type of plot (same as in matplot)
...
optional arguments to be passed to matplot

Value

Only used for its side-effect.

Details

The crosses are the probe intensities which are considered `ok' by the outlier detection part of the algorithm, while the circles are the ones considered `outliers'

See Also

pmcorrect.pdnn and pmcorrect.pdnnpredict

Examples

Run this code
# see 'pmcorrect.pdnn'

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