normexp.signal {limma} | R Documentation |
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.
normexp.signal(par, x)
par |
numeric vector containing the parameters of the Normal+Exp distribution, see normexp.fit for details. |
x |
numeric vector of (background corrected) intensities |
In general the vector normmean
is computed conditional on background at each spot.
Numeric vector containing adjusted intensities.
Gordon Smyth
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
An overview of background correction functions is given in 04.Background
.
# See normexp.fit