Description Usage Arguments Details Value
Based on the supplied set of background probes, estimate the background mean and standard deviation for a given GC count.
1 2 | defineGcBins(celSet, cdf = NULL, bgProbes = "r2.genomic.bgp",
nBins = 20, fitIndividual = TRUE)
|
celSet |
the set of arrays being processed, as an |
cdf |
an alternate cdf.
This will override the one specified in |
bgProbes |
the tab delimited file containing the sequence data for each background probe. |
nBins |
the number of bins to form. Defaults to 20 |
fitIndividual |
logical variable.
If |
This function finds the log scale mean (lambda) and standard deviation (delta) of the specified bgProbes
for each gc_count
.
A list with the following components:
lambdathe mean of the log-transformed bgProbes
for a given gc_count
deltathe standard deviation of the log-transformed bgProbes
for a given gc_count
For easy downstream usage, the names/rownames for each component are specified as "GC4" through to "GC25."
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