mgmos {mmgmos} | R Documentation |
This function converts an object of class AffyBatch
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=TRUE, savepar=FALSE, eps=1.0e-6)
object |
an object of AffyBatch |
background |
Logical value. If TRUE , perform background correction before applying mmgmos. |
savepar |
Logical value. If TRUE the estimated parameters of the model are saved in file par_mgmos.txt. |
eps |
Optimisation termination criteria. |
The obtained expression measures are in log base 2 scale.
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
## load example data from package Affy data(affybatch.example) ## use method mmgmos to calculate the expressiong levels and related confidence ## of the measures for the example data eset<-mgmos(affybatch.example)