tool.fdr.empirical: Estimate Empirical False Discovery Rates
In zeynebkurtUCLA/Mergeomics: Integrative network analysis of omics data
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
tool.fdr.empirical estimates empirical FDR for modules
Usage
1
tool.fdr.empirical(p, f0)
Arguments
p
p-values of modules
f0
pre-defined threshold for FDR
Value
res
data list including the estimated false discovery rates of
modules
Author(s)
Ville-Petteri Makinen
See Also
Examples
1
2
3
4
5
6
## let us assume we have a set of pvalues
## and would like to find FDR values:
set.seed(1)
p <- abs(rnorm(10))*1e-2
f = 0.05 ## pre-defined threshold for FDR
FDRs <- tool.fdr.empirical(p, f)
zeynebkurtUCLA/Mergeomics documentation built on May 14, 2019, 1:59 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
tool.fdr.empirical estimates empirical FDR for modules
Usage
1 | tool.fdr.empirical(p, f0)
|
Arguments
p |
p-values of modules |
f0 |
pre-defined threshold for FDR |
Value
res |
data list including the estimated false discovery rates of modules |
Author(s)
Ville-Petteri Makinen
See Also
Examples
1 2 3 4 5 6 | ## let us assume we have a set of pvalues
## and would like to find FDR values:
set.seed(1)
p <- abs(rnorm(10))*1e-2
f = 0.05 ## pre-defined threshold for FDR
FDRs <- tool.fdr.empirical(p, f)
|
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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