qualityControl {AneuFinder} | R Documentation |
Calculate various quality control measures on binned read counts.
qc.spikiness(counts) qc.entropy(counts) qc.bhattacharyya(hmm) qc.sos(hmm)
counts |
A vector of binned read counts. |
hmm |
An |
The Shannon entropy is defined as
S = - sum( n * log(n) ), where n = counts/sum(counts).
Spikyness is defined as K = sum(abs(diff(counts))) / sum(counts).
A numeric.
qc.spikiness
: Calculate the spikiness of a library
qc.entropy
: Calculate the Shannon entropy of a library
qc.bhattacharyya
: Calculate the Bhattacharyya distance between the '1-somy' and '2-somy' distribution
qc.sos
: Sum-of-squares distance from the read counts to the fitted distributions
Aaron Taudt