classifyTrios: Main function that uses prepared summary statistics to...
In aksenia/SeeCiTe: Assess the quality of and visualize array CNV callset for trios
Description
Usage
Arguments
Value
View source: R/classifyTrios.R
Description
Main function that uses prepared summary statistics to classify CNVs into categories
Usage
1
classifyTrios(analyzed_df, lrr_flank_pass = 0.2)
Arguments
analyzed_df
Output of runAnalyzeSignal
lrr_flank_pass
A cutoff on the LRR_SD in flanking region that defines placement of putative de novo CNVs into Unlikely category for more detailed examination
Value
A data table with most useful statistics per individual in a trio and classification results for an offspring CNV
aksenia/SeeCiTe documentation built on Jan. 19, 2021, 12:35 a.m.
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Description Usage Arguments Value
View source: R/classifyTrios.R
Description
Main function that uses prepared summary statistics to classify CNVs into categories
Usage
1 | classifyTrios(analyzed_df, lrr_flank_pass = 0.2)
|
Arguments
analyzed_df |
Output of runAnalyzeSignal |
lrr_flank_pass |
A cutoff on the LRR_SD in flanking region that defines placement of putative de novo CNVs into Unlikely category for more detailed examination |
Value
A data table with most useful statistics per individual in a trio and classification results for an offspring CNV
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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