lowess.normalize {LPE} | R Documentation |
All the chips are normalized w.r.t. 1st chip
lowess.normalize(x,y)
x |
x is the chip data w.r.t. which other chips would be normalized |
y |
y is the chip data which would be normalized |
Returns the lowess normalized chip intensity.
Nitin Jainnitin.jain@pfizer.com
J.K. Lee and M.O.Connell(2003). An S-Plus library for the analysis of differential expression. In The Analysis of Gene Expression Data: Methods and Software. Edited by G. Parmigiani, ES Garrett, RA Irizarry ad SL Zegar. Springer, NewYork.
Jain et. al. (2003) Local pooled error test for identifying differentially expressed genes with a small number of replicated microarrays, Bioinformatics, 1945-1951.
Jain et. al. (2005) Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data, BMC Bioinformatics, Vol 6, 187.
library(LPE) # Loading the LPE library data(Ley) # Loading the data set dim(Ley) #gives 12488 * 7 Ley[1:3,] Ley[1:1000,2:7] <- preprocess(Ley[1:1000,2:7],data.type="MAS5") Ley[1:3,]