correction.redundancy: Correction redundancy from the Finite Sample Size Effect
In MEET: MEET: Motif Elements Estimation Toolkit
Description
Usage
Arguments
Author(s)
See Also
Examples
View source: R/correction.redundancy.R
Description
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
Usage
1
correction.redundancy(r, HXmax, Herror, finite)
Arguments
r
Length of the binding site
HXmax
Maximum entropy for N possible states
Herror
Error entropy for finit sample size effect
finite
Sample size
Author(s)
Joan Maynou <joan.maynou@upc.edu>
See Also
redundancy, entropy,CalculRedundancy, correction.entropy, correctionaprox
Examples
1
2
3
4
5
data(iicc)
data(TranscriptionFactor)
HXmax<-iicc$HXmax
Herror<-iicc$Herror
correction.redundancy(r=1,HXmax,Herror,finite=nrow(TranscriptionFactor))
MEET documentation built on May 2, 2019, 5:52 p.m.
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Description Usage Arguments Author(s) See Also Examples
View source: R/correction.redundancy.R
Description
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
Usage
1 | correction.redundancy(r, HXmax, Herror, finite)
|
Arguments
r |
Length of the binding site |
HXmax |
Maximum entropy for N possible states |
Herror |
Error entropy for finit sample size effect |
finite |
Sample size |
Author(s)
Joan Maynou <joan.maynou@upc.edu>
See Also
redundancy, entropy,CalculRedundancy, correction.entropy, correctionaprox
Examples
1 2 3 4 5 | data(iicc)
data(TranscriptionFactor)
HXmax<-iicc$HXmax
Herror<-iicc$Herror
correction.redundancy(r=1,HXmax,Herror,finite=nrow(TranscriptionFactor))
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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