From raw probe intensities to expression values
Goes from raw probe intensities to expression values
expresso(
afbatch,
# background correction
bg.correct = TRUE,
bgcorrect.method = NULL,
bgcorrect.param = list(),
# normalize
normalize = TRUE,
normalize.method = NULL,
normalize.param = list(),
# pm correction
pmcorrect.method = NULL,
pmcorrect.param = list(),
# expression values
summary.method = NULL,
summary.param = list(),
summary.subset = NULL,
# misc.
verbose = TRUE,
widget = FALSE)afbatch |
an |
bg.correct |
a boolean to express whether background correction is wanted or not. |
bgcorrect.method |
the name of the background adjustment method. |
bgcorrect.param |
a list of parameters for bgcorrect.method (if needed/wanted). |
normalize |
normalization step wished or not. |
normalize.method |
the normalization method to use. |
normalize.param |
a list of parameters to be passed to the normalization method (if wanted). |
pmcorrect.method |
the name of the PM adjustment method. |
pmcorrect.param |
a list of parameters for pmcorrect.method (if needed/wanted). |
summary.method |
the method used for the computation of expression values. |
summary.param |
a list of parameters to be passed to the
|
summary.subset |
a list of 'affyids'. If |
verbose |
logical value. If |
widget |
a boolean to specify the use of widgets (the package tkWidget is required). |
Some arguments can be left to NULL if the widget=TRUE.
In this case, a widget pops up and let the user choose with the mouse.
The arguments are: AffyBatch, bgcorrect.method,
normalize.method, pmcorrect.method and summary.method.
For the mas 5.0 and 4.0 methods ones need to normalize after obtaining
expression. The function affy.scalevalue.exprSet does this.
For the Li and Wong summary method notice you will not get
the same results as you would get with dChip. dChip is not open source
so it is not easy to reproduce.
Notice also that this iterative algorithm will not always converge.
If you run the algorithm on thousands of probes expect some non-convergence
warnings. These are more likely when few arrays are used. We recommend
using this method only if you have 10 or more arrays.
Please refer to the fit.li.wong help page for more details.
An object of class ExpressionSet,
with an attribute pps.warnings as returned by the method
computeExprSet.
if (require(affydata)) {
data(Dilution)
eset <- expresso(Dilution, bgcorrect.method="rma",
normalize.method="constant",pmcorrect.method="pmonly",
summary.method="avgdiff")
##to see options available for bg correction type:
bgcorrect.methods()
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.