hildaDiffPlot: Read the raw mutation data with the mutation feature vector...

In USCbiostats/HiLDA: Conducting statistical inference on comparing the mutational exposures of mutational signatures by using hierarchical latent Dirichlet allocation

Description

Read the raw mutation data with the mutation feature vector format, estimate and plot both mutation signatures and their fractions

Usage

hildaDiffPlot(inputG, hildaResult, sigOrder = NULL, charSize = 3)

Arguments

inputG	a MutationFeatureData S4 class output by the pmsignature.
hildaResult	a rjags class output by HiLDA.
sigOrder	the order of signatures if needed (default: NULL).
charSize	the size of the character on the signature plot (default: 3)

Value

a list of the signature plot and the mean difference plot.

Examples

load(system.file("extdata/sample.rdata", package="HiLDA"))
inputFile <- system.file("extdata/hildaLocal.rdata", package="HiLDA")
hildaLocal <- readRDS(inputFile)

hildaDiffPlot(G, hildaLocal)

USCbiostats/HiLDA documentation built on Oct. 15, 2021, 10:22 a.m.