maPermFdr: Compute false discovery rates (FDRs) from permuted DMR lists
In jeffbhasin/methylaction: MethylAction: Differentially Methylated Regions (DMRs) from MBD-isolated Genome Sequencing (MiGS/MBD-seq)
Description
Usage
Arguments
Value
Description
Using DMRs arising from permutations saved using maPerm(), compute FDRs for each pattern.
Usage
1
Arguments
ma
Output object from methylaction()
maperm
Output object from maPerm()
recut.p
ANODEV p-value cutoff to use
wide
Produce a more readable "wide" format summary table, sorted by "frequent" FDR
Value
A table of FDRs for each pattern, stratified by "frequent" status
jeffbhasin/methylaction documentation built on May 19, 2019, 1:46 a.m.
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Description Usage Arguments Value
Description
Using DMRs arising from permutations saved using maPerm(), compute FDRs for each pattern.
Usage
1 |
Arguments
ma |
Output object from methylaction() |
maperm |
Output object from maPerm() |
recut.p |
ANODEV p-value cutoff to use |
wide |
Produce a more readable "wide" format summary table, sorted by "frequent" FDR |
Value
A table of FDRs for each pattern, stratified by "frequent" status
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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