fisher_fdr: Compute FDRs for Fisher's test p-values.
In seqpipe/SCclust: Clustering of Single Cell Sequencing Copy Number Profiles to Identify Clones
Description
Usage
Arguments
Value
Description
Linear fit to the tail of empirical null distribution of Fisher p-values;
FDR computation: compare true to simulated CDF(empirical null).
Usage
1
fisher_fdr(true_pv, sim_pv, cell_names, lmmax = 0.001)
Arguments
true_pv
The Fisher's test p-values for the observation.
sim_pv
The Fisher's test p-values for the permutations.
cell_names
A character vector. The names of cells.
lmmax
Numeric value. Default: 0.001. The threshold parameter
for the linear fit.
Value
A list containing the matrix of the FDR values (mat_fdr)
seqpipe/SCclust documentation built on May 4, 2021, 11:56 a.m.
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Description Usage Arguments Value
Description
Linear fit to the tail of empirical null distribution of Fisher p-values; FDR computation: compare true to simulated CDF(empirical null).
Usage
1 | fisher_fdr(true_pv, sim_pv, cell_names, lmmax = 0.001)
|
Arguments
true_pv |
The Fisher's test p-values for the observation. |
sim_pv |
The Fisher's test p-values for the permutations. |
cell_names |
A character vector. The names of cells. |
lmmax |
Numeric value. Default: 0.001. The threshold parameter for the linear fit. |
Value
A list containing the matrix of the FDR values (mat_fdr)
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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