restrict_to_IGM: Constrains weights to be valid information measures.
In mPloenzke/learnMotifs: Learn Nucleotide Motifs via Convolutions
Description
Usage
Arguments
Value
Author(s)
Description
Constrains filter weights to be valid IGMs by rescaling the weights.
Usage
1
2
restrict_to_IGM(wts, offset, bg = c(0.25, 0.25, 0.25, 0.25),
pseudocount = 0.05)
Arguments
wts
Convolutional filter weights.
offset
Filter offset weights.
bg
Vector of background nucleotide probabilities (A, C, G, T)
pseudocount
Value to add to zero-valued position probability matrix column sums prior to converting to IGM.
Value
Rescaled weights.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
mPloenzke/learnMotifs documentation built on May 27, 2019, 11:55 a.m.
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Description Usage Arguments Value Author(s)
Description
Constrains filter weights to be valid IGMs by rescaling the weights.
Usage
1 2 | restrict_to_IGM(wts, offset, bg = c(0.25, 0.25, 0.25, 0.25),
pseudocount = 0.05)
|
Arguments
wts |
Convolutional filter weights. |
offset |
Filter offset weights. |
bg |
Vector of background nucleotide probabilities (A, C, G, T) |
pseudocount |
Value to add to zero-valued position probability matrix column sums prior to converting to IGM. |
Value
Rescaled weights.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
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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