launch_RSA {scsR} | R Documentation

## launch_RSA

### Description

launch RSA sorting method

### Usage

    launch_RSA(df, LB=-100, UB=100, reverse=FALSE, strScoreCol="", strGeneCol="Gene_ID", keepAllRSAReturnFields=FALSE)

### Arguments

`df` | data frame containing the results of the siRNA experiment.
`LB` | RSA lower bound (look KONIG paper). (number)
`UB` | RSA upper bound (look KONIG paper). (number)
`reverse` | whether to sort in ascending or descending order. (boolean)
`strScoreCol` | name of the column that contains the score of the screen (character vector)
`strGeneCol` | name of the column that contains the names of the genes in the screen (character vector)
`keepAllRSAReturnFields` | specify whether you want to keep all RSA columns in the output file. (boolean)

### Value

screen data frame with RSA 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)

    	#extract the first 1000 lines in order to speed up the example
    	screen = uuk_screen[1:1000,]

    	screen_ranked <- launch_RSA(screen, strGeneCol="GeneID", strScoreCol="score")

[Package scsR version 1.16.0 Index]