JASPAR2018_CORE_DBSCORES: JASPAR2018 CORE database scores
In universalmotif: Import, Modify, and Export Motifs with R
Description
For use with compare_motifs(). The precomputed scores allow for fast P-value estimation.
These scores were
generated using make_DBscores() with the JASPAR2018 CORE motif set.
The scores are organized in a DataFrame.
In this DataFrame is the location and scale
of scores resulting from a statistical
distribution using the the comparisons of JASPAR2018 CORE motifs with
randomized motifs of the specified
subject and target motif length. Created using make_DBscores() from
universalmotif v1.4.0. The parameters used can be seen via
S4Vectors::metadata(JASPAR2018_CORE_DBSCORES).
Usage
1
Format
DataFrame with function args in the metadata slot.
universalmotif documentation built on April 8, 2021, 6 p.m.
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Description
For use with compare_motifs(). The precomputed scores allow for fast P-value estimation.
These scores were
generated using make_DBscores() with the JASPAR2018 CORE motif set.
The scores are organized in a DataFrame.
In this DataFrame is the location and scale
of scores resulting from a statistical
distribution using the the comparisons of JASPAR2018 CORE motifs with
randomized motifs of the specified
subject and target motif length. Created using make_DBscores() from
universalmotif v1.4.0. The parameters used can be seen via
S4Vectors::metadata(JASPAR2018_CORE_DBSCORES).
Usage
1 |
Format
DataFrame with function args in the metadata slot.
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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