Description Usage Arguments Value Author(s) References Examples
Identification of outliers in the background intensity
1 | getbgoutliers(.Object,CGHr.smooth,fdr)
|
.Object |
an object of the CGHresults class for which |
CGHr.smooth |
an object of the CGHresults class for which
|
fdr |
fdr level to control for multiple testing |
bgoutliers |
dataframe containing background outliers |
F. Picard, E. Lebarbier, M. Hoebeke, G. Rigaill, B. Thiam, S. Robin
Joint segmentation, calling and normalization of multiple CGH profiles, Biostatistics (2011)
1 2 3 4 5 6 7 8 9 10 | #set.seed(1)
#simul = simulprofiles(M=5,n=100,k.mean=2,SNR=5,lambda=1)
#CGHd = new("CGHdata",Y=simul$Y)
#CGHo = new("CGHoptions")
#calling(CGHo) = FALSE
#wavenorm(CGHo) = "position"
#CGHr.pos = multiseg(CGHd,CGHo)
#wavenorm(CGHo) = "spline"
#CGHr.spl = multiseg(CGHd,CGHo)
#getbgoutliers(CGHr.pos,CGHr.spl,fdr=0.05)
|
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