comp.scores.diff.ann: Computes lethality scores for replicates with different...

In rxmenezes/rscreenorm: Normalization of Multiple Genetic Screens Data

Description

comp.scores.diff.ann is an internal function called by get.leth.scores. It computes lethality scores per replicate and plate in a data matrix, for which plate and well annotation may vary across replicates.

Usage

comp.scores.diff.ann(my_data, my_ann, is_robust = TRUE)

Arguments

my_data	data matrix containing only data columns, so all columns are of type numeric. It can be a matrix with a single column, but we must be able to apply nrow, ncol and apply on it.
my_ann	list with data frames, each with as many columns as those in my_data and with the same column names, containing well annotation (wtype_ann) and plate (plate_ann).
is_robust	logical; TRUE by default, when the median of the controls is used to compute the scores. If FALSE, the mean of the controls is used instead.

Value

a matrix with the same dimensions as my_data containing all lethality scores.

See Also

read.screen.data on reading screen data, combine.screens to combine data from multiple screens into a single object, and get.rscreenorm to normalize the screen data using the invariant-set quantile normalization.

rxmenezes/rscreenorm documentation built on May 15, 2019, 1:19 p.m.