plot_activation_difference: Plot effect size versus activation difference.
In mPloenzke/learnMotifs: Learn Nucleotide Motifs via Convolutions

Description Usage Arguments Value Author(s) Examples

Plots the estimated motif effect size (beta) against the mean between-class activation difference.

1	plot_activation_difference(betas, combo = F, fl = NULL)

`betas`	Tibble containing effect size information, filter name, mean activation difference, and information.
`combo`	Whether both de novo and annotated motifs are included.
`fl`	Filename to save plots to. If not provided, a plot object will be returned.

A ggplot object.

Matthew Ploenzke, ploenzke@g.harvard.edu

a <- runif(10,0,1)
b <- rnorm(10)
c <- paste(1:10)
d <- rnorm(10,1)
mat <- dplyr::tibble(Difference=a,Effect=b,Filter=c,Information=d)
plot_activation_difference(mat)