Compute RPS

RPS.rs.KLabs(RPS)

R Documentation

Compute reproducibility probability scores for the microarray data

RPS.rs.KLabs(simu.data, expr, sample.info, corr, n.replicate, test = "t", p.value = 0.05, FC = -1, K = 10)

`simu.data`	simulated data based on the actural microarray data
`expr`	the actual microarray data
`sample.info`	a vector provides sample informations
`corr`	correlation computed by the reference microarray data
`n.replicate`	the number of replicates for each sample
`test`	the test type,usually it is a t-test
`p.value`	p-value threshold to select genes;;if p.value>=1 then no p-values are applied to select genes.
`FC`	foldchange threshold to select genes;if FC<=0 then no foldchange are applied to select genes.
`K`	the number of new Labs

list(p.values = p0.value, RS = RPS)

`p.values`	pvalues for each probe of the actual microarray data
`RS`	RPS for each probe