quartile.normalize {LPE} | R Documentation |
Does Normalization based on quartile range
quartile.normalize(x, percent=50)
x |
x is a matrix or dataframe on which normalization has to be performed. |
percent |
Percentage for which normalization is needed |
Returns the normalized data based on quartile normalization
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) dim(Ley) # Gives 12488*7 # First column is ID. subset <- 1:1000 Ley[subset,2:7] <- quartile.normalize(Ley[subset,2:7],percent=50)