add_rank_col {scsR} | R Documentation

## add_rank_col

### Description

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.)

### Usage

    add_rank_col(screen, reverse=FALSE,  scoreColName="score", geneColName="GeneID")

### Arguments

`screen` | data frame containing the results of the siRNA experiment.
`reverse` | boolean specifying the direction of the sorting (from the lowest scores to the highest score or vice versa)
`scoreColName` | character vector with the name of the column that contains the score of the screen
`geneColName` | character vector withname of the column that contains the names of the genes in the screen

### Value

screen data frame with sorting columns added.

### Author(s)

Andrea Franceschini

### References

A probability-based approach for the analysis of large-scale RNAi screens. Renate Konig et al. Nature Methods 2007

### Examples

     data(uuk_screen)
     uuk_screen_ranked = add_rank_col(uuk_screen[1:100,])

[Package scsR version 1.18.0 Index]