Obtain a data.frame with quality metrics from a list of
aneuHMM objects or a list of files that contain such objects.
A list of
The employed quality measures are:
total.read.count: Total read count.
avg.binsize: Average binsize.
avg.read.count: Average read count.
spikiness: Bin-to-bin variability of read count.
entropy: Shannon entropy of read counts.
complexity: Library complexity approximated with a Michaelis-Menten curve.
loglik: Loglikelihood of the Hidden Markov Model.
num.segments: Number of copy number segments that have been found.
bhattacharrya distance: Bhattacharyya distance between 1-somy and 2-somy distributions.
sos: Sum-of-squares distance of read counts to the fitted distributions in their respective segments.
A data.frame with columns
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