plotDeTest: Plot the differential testing result of one distribution...

In jingshuw/descend: Gene Expression Distribution Deconvolution for Single Cell RNA-seq

Description

Given a significance level and the measurement name, the significiant genes are visualized as red dots. For examples, see descendMultiPop

Usage

plotDeTest(descend.multipop.output, de.pair.names, deTest.output,
  alpha = 0.05, method = "BH", measurement.name = "Gini", log = "")

Arguments

descend.multipop.output	the returned value of descendMultiPop
de.pair.names	a vector of length 2 showing the two cell population names for differential testing. The names should match the values in labels
deTest.output	returned values of deTest or deTest.more
alpha	the nomial significance level
method	default is BH. More details see p.adjust
measurement.name	one of the colnames of deTest.ouput$p.values
log	control log transformation of x/y axes, see plot

Value

a matrix of five columns. Each row is a gene.

jingshuw/descend documentation built on Nov. 2, 2021, 4:23 p.m.