R version 4.5.0 RC (2025-04-04 r88112 ucrt) -- "How About a Twenty-Six"
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> # pipeline-test
> library(PreProcess)
Loading required package: oompaBase
> 
> suppressWarnings( RNGversion("3.5.3") )
> set.seed(147745)
> # simulate a moderately realistic looking microarray
> nc <- 100
> nr <- 100
> v <- rexp(nc*nr, 1/1000)
> b <- rnorm(nc*nr, 80, 10)
> s <- sapply(v-b, max, 1)
> ct <- ChannelType('user', 'random', nc, nr,  'fake')
> subbed <- Channel(name='fraud', parent='', type=ct, vec=s)
> rm(ct, nc, nr, v, b, s)		# clean some stuff
> 
> # example of standard data processing
> processed <- process(subbed, PIPELINE.STANDARD)
> 
> summary(processed)
log normalized fraud, a microarray channel object
Parent object: NA 
Microarray type: user random 
Labeled with: fake 
Design size: 100 by 100 
Design information object:  
History:
	 Channel(parent = "", name = "fraud", type = ct, vec = s) 
	 Default channel processing (using pipeline: PIPELINE.STANDARD) 
	 Global normalization (using object: proc) with parameter = 0 
	 Truncated below (using object: proc) with parameter = 0 
	 Log transformation (using object: proc) with parameter = 2 

   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
 -0.390   7.260   8.849   8.009   9.966  12.777 
> 
> par(mfrow=c(2,1))
> plot(processed)
> hist(processed)
> 
> par(mfrow=c(1,1))
> image(processed)
> 
> rm(subbed, processed)
> 
> 
> proc.time()
   user  system elapsed 
   0.68    0.12    0.79