calculate_offsets: Calculate offset
In mPloenzke/learnMotifs: Learn Nucleotide Motifs via Convolutions
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Calculate the offset (bias) as the mean activation over a sampling of the data.
Usage
1
2
calculate_offsets(filter.motifs, motif.pos = NULL, motif.maxlen,
onehot_array, batchsize = 256)
Arguments
filter.motifs
4-D array of IGMs or PWMs.
motif.pos
Vector of indices to extract motifs. If NULL all motifs will be selected.
motif.maxlen
Maximum motif length, found via find_max_length.
onehot_array
One-hot encoded training data to sample a batch from.
batchsize
Size of batch to sample.
Value
Vector of offsets of length equal to the fourth dimension of the input array of IGMs/PWMs.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
See Also
mPloenzke/learnMotifs documentation built on May 27, 2019, 11:55 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
Calculate the offset (bias) as the mean activation over a sampling of the data.
Usage
1 2 | calculate_offsets(filter.motifs, motif.pos = NULL, motif.maxlen,
onehot_array, batchsize = 256)
|
Arguments
filter.motifs |
4-D array of IGMs or PWMs. |
motif.pos |
Vector of indices to extract motifs. If |
motif.maxlen |
Maximum motif length, found via |
onehot_array |
One-hot encoded training data to sample a batch from. |
batchsize |
Size of batch to sample. |
Value
Vector of offsets of length equal to the fourth dimension of the input array of IGMs/PWMs.
Author(s)
Matthew Ploenzke, ploenzke@g.harvard.edu
See Also
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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