Description Usage Arguments Author(s) See Also Examples
Each training matrix is formed by a finite number of samples. The probability estimation error using the nucleotide frequency causes a bias on the uncertainty measurement
1 | correction.redundancy(r, HXmax, Herror, finite)
|
r |
Length of the binding site |
HXmax |
Maximum entropy for N possible states |
Herror |
Error entropy for finit sample size effect |
finite |
Sample size |
Joan Maynou <joan.maynouatupc.edu>
redundancy, entropy,CalculRedundancy, correction.entropy, correctionaprox
1 2 3 4 5 6 7 8 9 10 | require("MEET")
data(TranscriptionFactor)
data(BackgroundOrganism)
data(RenyiOrder)
data(iicc)
Factortrans<-TranscriptionFactor
correction<-correction.entropy(q,p=nrow(Factortrans),long=1,iicc)
Herror<-slot(correction,"Herror")
HXmax<-iicc$HXmax
correction.redundancy(r=1,HXmax,Herror,finite=nrow(TranscriptionFactor))
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