| RPS.select(RPS) | R Documentation |
Compute RPS
Description
Compute the RPS for the actural data.
Usage
RPS.select(actual.expr,test.sample.info,corr,n.replicate,test="t",p.value,FC,K,flag=T)
Arguments
actual.expr |
the actual microarray data ,not including probe set names |
test.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 new K imaginary Labs |
flag |
if flag=T, the simulated data will be returned ;otherwise the simulated data will be returned as NULL |
Details
Value
RPS |
reproducibility prob. score |
simu.data |
simulation data for new imaginary labs |
Note
Author(s)
Guixian Lin and Sheng Zhong
References
See Also
Examples
#computes RPS for every probe (set) in the new experiment, and selects differentially expressed genes by a RPS threshold
[Package
RPS version 1.0
Index]