random_frag_model: Model generation based on random fragmentation
In gbedwell/rigrag: Identification of Recurrently Targeted Genes and Recurrently Avoided Genes During HIV-1 Infection
Description
Usage
Arguments
Examples
View source: R/random_frag_model.R
Description
Calculates the expected integration frequency, the upper boundary, and the lower boundary for each sample.
Defines outliers based on the relation to the calculated upper and lower boundaries.
Usage
1
Arguments
df
The dataframe generated with int_file_import
total.sites
The column in the df dataframe containing the total number of integration sites.
gene.length
The column in the df dataframe containing the gene length of a given gene.
Examples
1
gbedwell/rigrag documentation built on June 23, 2021, 10:32 p.m.
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Description Usage Arguments Examples
View source: R/random_frag_model.R
Description
Calculates the expected integration frequency, the upper boundary, and the lower boundary for each sample. Defines outliers based on the relation to the calculated upper and lower boundaries.
Usage
1 |
Arguments
df |
The dataframe generated with |
total.sites |
The column in the |
gene.length |
The column in the |
Examples
1 |
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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