predict_mods: Predict modifications in JACUSA2 output
In dieterich-lab/JACUSA2helper: Post-processing for JACUSA2 output
predict_mods R Documentation
Predict modifications in JACUSA2 output
Description
Use data matrix and an matrix factorization to predict modification sites.
Usage
predict_mods(x, nmf_results = NULL)
Arguments
x
target data to fit, i.e. a matrix-like object - use 'create_data()'.
nmf_results
Default: data(m6a_nmf_results).
Value
Score matrix.
dieterich-lab/JACUSA2helper documentation built on March 1, 2023, 12:09 a.m.
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| predict_mods | R Documentation |
Predict modifications in JACUSA2 output
Description
Use data matrix and an matrix factorization to predict modification sites.
Usage
predict_mods(x, nmf_results = NULL)
Arguments
x |
target data to fit, i.e. a matrix-like object - use 'create_data()'. |
nmf_results |
Default: data(m6a_nmf_results). |
Value
Score matrix.
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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