qc.zshift.unaffected: QC: Z-score bias in unaffected samples
In jmonlong/PopSV: Population-based detection of structural variants from Read-Depth signal
Description
Usage
Arguments
Value
Author(s)
View source: R/qc.zshift.unaffected.R
Description
Checks that the Z-scores of unaffected samples are centered in 0. When controls are not perfectly matched, the Z-scores of cases can be slightly shifted and produce false calls. This function computes a measure of such bias.
Usage
1
qc.zshift.unaffected(files.df, bins.df, nb.cores = 1)
Arguments
files.df
a data.frame with the path to relevant files for each samples.
bins.df
a data.frame with information on which bins to analyze.
nb.cores
the number of cores to use. Default is 1.
Value
a data.frame with a shift measure for each bin.
Author(s)
Jean Monlong
jmonlong/PopSV documentation built on Sept. 15, 2019, 9:29 p.m.
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Description Usage Arguments Value Author(s)
View source: R/qc.zshift.unaffected.R
Description
Checks that the Z-scores of unaffected samples are centered in 0. When controls are not perfectly matched, the Z-scores of cases can be slightly shifted and produce false calls. This function computes a measure of such bias.
Usage
1 | qc.zshift.unaffected(files.df, bins.df, nb.cores = 1)
|
Arguments
files.df |
a data.frame with the path to relevant files for each samples. |
bins.df |
a data.frame with information on which bins to analyze. |
nb.cores |
the number of cores to use. Default is 1. |
Value
a data.frame with a shift measure for each bin.
Author(s)
Jean Monlong
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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