normalize_tetra: Normalize the tetra sequences
In BigelowLab/tetramers: Tetramer Analysis with Principle Component Analysis
normalize_tetra R Documentation
Normalize the tetra sequences
Description
This function normalizes the tetramer counts by window locations
You can visualize each window location by one row of the census matrix
Normalization occurs across each row, with the max count scoring the highest
value toward 1.0 and the least represented as toward 0.0.
If there are no hits of the any TETRAMERS (all Ns in the original)
then the normalized score for each tetramer in the row is 0.
Usage
normalize_tetra(x)
Arguments
x
a list of matrices or a single matrix
Value
a list or matrix of the same form as the input
BigelowLab/tetramers documentation built on April 3, 2022, 8:22 p.m.
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| normalize_tetra | R Documentation |
Normalize the tetra sequences
Description
This function normalizes the tetramer counts by window locations You can visualize each window location by one row of the census matrix Normalization occurs across each row, with the max count scoring the highest value toward 1.0 and the least represented as toward 0.0. If there are no hits of the any TETRAMERS (all Ns in the original) then the normalized score for each tetramer in the row is 0.
Usage
normalize_tetra(x)
Arguments
x |
a list of matrices or a single matrix |
Value
a list or matrix of the same form as the input
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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