sideHist: sideHist

In kdkorthauer/scDD: Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions

sideHist

Description

Plots two histograms side by side with smoothed density overlay

Usage

sideHist(x, y, logT = TRUE, title.gene = "")

Arguments

x	First numeric vector of data to plot.
y	Second numeric vector of data to plot.
logT	Logical that indicates whether to take the log(x+1) transformation.
title.gene	Character vector that contains the gene name that you are plotting

Value

NULL (creates a baseR plot)

References

Korthauer KD, Chu LF, Newton MA, Li Y, Thomson J, Stewart R, Kendziorski C. A statistical approach for identifying differential distributions in single-cell RNA-seq experiments. Genome Biology. 2016 Oct 25;17(1):222. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-1077-y

kdkorthauer/scDD documentation built on March 27, 2022, 5:11 a.m.