snm.summary {snm} | R Documentation |
Provides a summary of the snm
fit.
snm.summary(object, cuts=c(0.0001, 0.001, 0.01, 0.025, 0.05, 0.10, 1), ...) ## S3 method for class 'snm' summary(object, ...)
object |
An object of class "snm", i.e., output from the |
cuts |
Cut points at which to calculate the number of significant probes. |
... |
Optional arguments to send to the |
A summary of the snm
fit.
Nothing of interest.
John D. Storey <jstorey@princeton.edu>
Mecham BH, Nelson PS, Storey JD (2010) Supervised normalization of microarrays. Bioinformatics, 26: 1308-1315.
## Not run: singleChannel <- sim.singleChannel(12345) snm.obj <- snm(singleChannel$raw.data, singleChannel$bio.var, singleChannel$adj.var, singleChannel$int.var, num.iter=10) summary(snm.obj) ## End(Not run)