add_rank_col


    data frame containing the results of the siRNA experiment.


screen


    boolean specifying the direction of the sorting (from the lowest scores to the highest score or vice versa)


reverse


    character vector with the name of the column that contains the score of the screen


scoreColName


    character vector withname of the column that contains the names of the genes in the screen


geneColName


This method takes in input a dataframe containing the results of an siRNA screen.
Then it adds a set of column that are useful for sorting to the dataframe.
At the moment the following sorting columns are provided: 
- column with the median value of the siRNA score for each gene
- columns that comes out from the execution of the RSA sorting method (Renate Konig et al.)


Corrects genome-wide siRNA screens for seed mediated off-target effect. Suitable functions to identify the effective seeds/miRNAs and to visualize their effect are also provided in the package.

Andrea Franceschini  Roger Meier rogermeierlmscethzch Christian von Mering meringimlsuzhch

scsR

SiRNA correction for seed mediated off-target effect

add_rank_col function

data frame containing the results of the siRNA experiment.

boolean specifying the direction of the sorting (from the lowest scores to the highest score or vice versa)

character vector with the name of the column that contains the score of the screen

character vector withname of the column that contains the names of the genes in the screen

This method takes in input a dataframe containing the results of an siRNA screen.
Then it adds a set of column that are useful for sorting to the dataframe.
At the moment the following sorting columns are provided: 
- column with the median value of the siRNA score for each gene
- columns that comes out from the execution of the RSA sorting method (Renate Konig et al.)

add_rank_col: add_rank_col

Description

Usage

Arguments

Value

References

Examples