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` for details.
`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

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 23, 2700-2707. http://bioinformatics.oxfordjournals.org/content/23/20/2700

Silver, JD, Ritchie, ME, and Smyth, GK (2009). Microarray background correction: maximum likelihood estimation for the normal-exponential convolution. Biostatistics 10, 352-363. http://biostatistics.oxfordjournals.org/content/10/2/352

### See Also

`normexp.fit`

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

### Examples

    # See normexp.fit

[Package limma version 3.42.2 Index]