rankDrivers: Rank TF drivers

In buenrostrolab/FigR: Functional Inference of Gene Regulation (FigR) using paired single cell ATAC-seq and RNA-seq data

Rank TF drivers

Description

Ranked plot of TF activators and repressors based on their inferred regulation score

Usage

rankDrivers(
  figR.d,
  rankBy = c("meanScore", "nTargets"),
  myLabels = NULL,
  score.cut = NULL,
  interactive = FALSE
)

Arguments

figR.d	data.frame of results returned by runFigRGRN)
rankBy	character specifying one of "meanScore" or "nTargets" to either rank TFs by the mean regulation score across all genes, or by the total number of inferred activated or repressed targets passing a specified (absolute) regulation score, respectively
myLabels	character vector specifying the subset of TFs to highlight on the plot, if rankBy is set to "meanScore". Useful if you want to see where your TFs of interest lie. If NULL (Default), we label the top and bottom 95 percentile TFs
score.cut	numeric specifying the absolute regulation score to threshold TF-DORC connections on, only if rankBy is set to "nTargets". Default is 1 if "nTargets" and no custom cut-off is specified
interactive	boolean indicating whether or not to allow interactive hover-over utility for more label information (useful if visualizing too many TFs and labels are hard to distinguish). Default is FALSE

Value

a ggplot2 object of the resulting plot

Author(s)

Vinay Kartha

buenrostrolab/FigR documentation built on Feb. 10, 2023, 11:26 a.m.