process.AbstractProbeSequenceNormalization: Normalizes the data set
In HenrikBengtsson/aroma.affymetrix: Analysis of Large Affymetrix Microarray Data Sets
process.AbstractProbeSequenceNormalization R Documentation
Normalizes the data set
Description
Normalizes the data set.
Usage
## S3 method for class 'AbstractProbeSequenceNormalization'
process(this, ..., ram=NULL, force=FALSE, verbose=FALSE)
Arguments
...
Not used.
ram
A positive double scale factor specifying how much more
memory to use relative to the default.
force
If TRUE, data already normalized is re-normalized,
otherwise not.
verbose
See Verbose.
Value
Returns a double vector.
Author(s)
Henrik Bengtsson
See Also
For more information see AbstractProbeSequenceNormalization.
HenrikBengtsson/aroma.affymetrix documentation built on Feb. 20, 2024, 9:07 p.m.
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| process.AbstractProbeSequenceNormalization | R Documentation |
Normalizes the data set
Description
Normalizes the data set.
Usage
## S3 method for class 'AbstractProbeSequenceNormalization'
process(this, ..., ram=NULL, force=FALSE, verbose=FALSE)
Arguments
... |
Not used. |
ram |
A positive |
force |
If |
verbose |
See |
Value
Returns a double vector.
Author(s)
Henrik Bengtsson
See Also
For more information see AbstractProbeSequenceNormalization.
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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