The CGHresults class is built to store the results of
Objects can be created by calls of the form
new("CGHresults", CGHd, CGHo).
list of dataframes containing the position of breakpoints and estimated means (list)
List of effects used for normalization : waveffect, GCeffect (listOrNULL)
Log-likelihood of the selected model (numeric)
number of iterations (numeric)
Name of the function that produced the results (character)
Contains the ID of each probe (factor)
Contains the genomic position of each probe (numeric)
list of options (of class CGHoptions)
Accessor to slots of the class
to construct the class
summary of CGHr
Extract the frequency of breakpoints
Extract model predictions
Extract levels of segments
Identification of outliers in the background intensity
F. Picard, E. Lebarbier, M. Hoebeke, G. Rigaill, B. Thiam, S. Robin
Joint segmentation, calling and normalization of multiple CGH profiles, Biostatistics (2011)
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#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") #CGHr = multiseg(CGHd,CGHo) #bplist = getbp(CGHr) #segprofiles = getsegprofiles(CGHr) #calling(CGHo) = TRUE #CGHr = multiseg(CGHd,CGHo) #bplist = getbp(CGHr) #levelslist = getlevels(CGHr) #segprofiles = getsegprofiles(CGHr)
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