mgmos: modified gamma Model for Oligonucleotide Signal
In puma: Propagating Uncertainty in Microarray Analysis(including Affymetrix tranditional 3' arrays and exon arrays and Human Transcriptome Array 2.0)

Description Usage Arguments Details Value Author(s) References See Also Examples

This function converts an object of class FeatureSet into an object of class exprReslt using the modified gamma Model for Oligonucleotide Signal (multi-mgMOS). This function obtains confidence of measures, standard deviation and 5, 25, 50, 75 and 95 percentiles, as well as the estimated expression levels.

mgmos(
	object
,	background=FALSE
,	replaceZeroIntensities=TRUE
,	gsnorm=c("median", "none", "mean", "meanlog")
,	savepar=FALSE
,	eps=1.0e-6
)

`object`	an object of `FeatureSet`
`background`	Logical value. If `TRUE`, perform background correction before applying mmgmos.
`replaceZeroIntensities`	Logical value. If `TRUE`, replace 0 intensities with 1 before applying mmgmos.
`gsnorm`	character. specifying the algorithm of global scaling normalisation.
`savepar`	Logical value. If `TRUE` the estimated parameters of the model are saved in file par\_mmgmos.txt and phi\_mmgmos.txt.
`eps`	Optimisation termination criteria.

The obtained expression measures are in log base 2 scale.

The algorithms of global scaling normalisation can be one of "median", "none", "mean", "meanlog". "mean" and "meanlog" are mean-centered normalisation on raw scale and log scale respectively, and "median" is median-centered normalisation. "none" will result in no global scaling normalisation being applied.

There are 4*n columns in file par\_mgmos.txt, n is the number of chips. Every 4 columns are parameters for a chip. Among every 4 columns, the first one is for 'alpha' values, the 2nd one is for 'a' values, The 3rd column is for 'c' and the final column is values for 'd'.

An object of class exprReslt.

Xuejun Liu, Magnus Rattray, Marta Milo, Neil D. Lawrence

Liu,X., Milo,M., Lawrence,N.D. and Rattray,M. (2005) A tractable probabilistic model for Affymetrix probe-level analysis across multiple chips, Bioinformatics, 21:3637-3644.

Milo,M., Niranjan,M., Holley,M.C., Rattray,M. and Lawrence,N.D. (2004) A probabilistic approach for summarising oligonucleotide gene expression data, technical report available upon request.

Milo,M., Fazeli,A., Niranjan,M. and Lawrence,N.D. (2003) A probabilistic model for the extractioin of expression levels from oligonucleotide arrays, Biochemical Society Transactions, 31: 1510-1512.

Peter Spellucci. DONLP2 code and accompanying documentation. Electronically available via http://plato.la.asu.edu/donlp2.html

Related class exprReslt-class and related method mmgmos

if(FALSE){
## Code commented out to speed up checks
## load example data from package affydata
# if (require(pumadata)&&require(puma)){ 
  #  data(oligo.estrogen)
# use method mgMOS to calculate the expression levels and related confidence 
# of the measures for the example data
  #  eset<-mgmos(oligo.estrogen,gsnorm="none")
#}
}