get_extreme_PIDs: Return those PIDs which have an extreme pattern for signature...
In eilslabs/YAPSA: Yet Another Package for Signature Analysis
Description
Usage
Arguments
Value
Examples
Description
For all signatures found in a project, this function returns the sample
identifiers (PIDs) with extremely high or extremely low exposures of
the respective signatures.
Usage
1
get_extreme_PIDs(in_exposures_df, in_quantile = 0.03)
Arguments
in_exposures_df
Data frame with the signature exposures
in_quantile
Quantile for the amount of extreme PIDs to be selected.
Value
A data frame with 4 rows per signature (high PIDs, high
exposures, low PIDs, low exposures); the number of columns depends on
the quantile chosen.
Examples
1
2
data(lymphoma_cohort_LCD_results)
get_extreme_PIDs(lymphoma_Nature2013_COSMIC_cutoff_exposures_df,0.05)
eilslabs/YAPSA documentation built on May 16, 2019, 1:23 a.m.
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Description Usage Arguments Value Examples
Description
For all signatures found in a project, this function returns the sample identifiers (PIDs) with extremely high or extremely low exposures of the respective signatures.
Usage
1 | get_extreme_PIDs(in_exposures_df, in_quantile = 0.03)
|
Arguments
in_exposures_df |
Data frame with the signature exposures |
in_quantile |
Quantile for the amount of extreme PIDs to be selected. |
Value
A data frame with 4 rows per signature (high PIDs, high exposures, low PIDs, low exposures); the number of columns depends on the quantile chosen.
Examples
1 2 | data(lymphoma_cohort_LCD_results)
get_extreme_PIDs(lymphoma_Nature2013_COSMIC_cutoff_exposures_df,0.05)
|
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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