expresso {affy} | R Documentation

## From raw probe intensities to expression values

### Description

Goes from raw probe intensities to expression values

### Usage

    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)

### Arguments

`afbatch` | An `AffyBatch` object
`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 adjustement 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.method` (if wanted).
`summary.subset` | a list of 'affyids'. If `NULL`, a expression summary value is computed for everything on the chip.
`verbose` | logical value. If `TRUE` it writes out some messages.
`widget` | a boolean to specify the use of widgets (the package tkWidget is required).

### Details

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.

### Value

An object of class `exprsSet`, with an attribute `pps.warnings` as returned by the method `computeExprSet`.

### See Also

`AffyBatch`

### Examples

    data(affybatch.example)

    eset <- expresso(affybatch.example, bgcorrect.method="rma",
                     normalize.method="constant",pmcorrect.method="pmonly",
                     summary.method="avgdiff")

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