correction.entropy: Correction entropy from the Finite Sample Size Effect
In MEET: MEET: Motif Elements Estimation Toolkit
Description
Usage
Arguments
Details
Author(s)
See Also
Examples
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.entropy(q, p, long, iicc)
Arguments
q
Renyi Order
p
Sample size
long
Length of the binding site
iicc
A list of options
Details
Sample size has to be =< 50.
Author(s)
Joan Maynou <joan.maynouatupc.edu>
See Also
correctionaprox,entropy, redundancy, correction.redundancy
Examples
1
2
3
4
5
data(TranscriptionFactor)
data(iicc)
data(BackgroundOrganism)
data(RenyiOrder)
correction.entropy(q,p=nrow(TranscriptionFactor),long=1,iicc)
MEET documentation built on May 2, 2019, 1:45 p.m.
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Description Usage Arguments Details Author(s) See Also Examples
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.entropy(q, p, long, iicc)
|
Arguments
q |
Renyi Order |
p |
Sample size |
long |
Length of the binding site |
iicc |
A list of options |
Details
Sample size has to be =< 50.
Author(s)
Joan Maynou <joan.maynouatupc.edu>
See Also
correctionaprox,entropy, redundancy, correction.redundancy
Examples
1 2 3 4 5 | data(TranscriptionFactor)
data(iicc)
data(BackgroundOrganism)
data(RenyiOrder)
correction.entropy(q,p=nrow(TranscriptionFactor),long=1,iicc)
|
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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