launch_RSA: launch_RSA
In scsR: SiRNA correction for seed mediated off-target effect

Description Usage Arguments Value Author(s) References Examples

launch RSA sorting method

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

`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)

screen data frame with RSA sorting columns added.

Andrea Franceschini

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

	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")