normexp.signal {limma} | R Documentation

## Expected Signal Given Observed Foreground Under Normal+Exp Model

### Description

Adjust foreground intensities for observed background using Normal+Exp Model. This function is called by `backgroundCorrect` and is not normally called directly by the user.

### Usage

    normexp.signal(par, x)

### Arguments

`par` | numeric vector containing the parameters of the Normal+Exp distribution, see `normexp.fit`
`x` | numeric vector of (background corrected) intensities

### Details

In general the vector `normmean` is computed conditional on background at each spot.

### Value

Numeric vector containing adjusted intensities.

### Author(s)

Gordon Smyth

### References

McGee, M., and Chen, Z. (2006). Parameter estimation for the exponential-normal convolution model for background correction of Affymetrix GeneChip data. Stat Appl Genet Mol Biol, 5(1), Article 24.

Ritchie, M. E., Silver, J., Oshlack, A., Silver, J., Holmes, M., Diyagama, D., Holloway, A., and Smyth, G. K. (2007). A comparison of background correction methods for two-colour microarrays. Bioinformatics http://bioinformatics.oxfordjournals.org/cgi/content/abstract/btm412

### See Also

`normexp.fit`

An overview of background correction functions is given in `04.Background`.

### Examples

    # See normexp.fit

[Package limma version 2.12.0 Index]