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Commit 7e9d67ae authored by Luke Zappia's avatar Luke Zappia
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Add simulateDE function

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Package: splatter
Type: Package
Title: Simple Simulation of Single-cell RNA Sequencing Data
Version: 0.3.3
Version: 0.3.4
Date: 2016-10-09
Author: Luke Zappia
Authors@R: as.person(c(
......
......@@ -70,6 +70,7 @@ splat <- function(params = defaultParams(), method = c("groups", "paths"),
pData(sim)$Group <- group.names[groups]
sim <- simulateGeneMeans(sim, params)
sim <- simulateDE(sim, params)
# Create new SCESet to make sure values are calculated correctly
sce <- newSCESet(countData = counts(sim),
......@@ -104,6 +105,27 @@ simulateGeneMeans <- function(sim, params) {
return(sim)
}
simulateDE <- function(sim, params) {
n.genes <- getParams(params, "nGenes")
de.prob <- getParams(params, "de.prob")
de.downProb <- getParams(params, "de.downProb")
de.facLoc <- getParams(params, "de.facLoc")
de.facScale <- getParams(params, "de.facScale")
means.gene <- fData(sim)$GeneMean
group.names <- unique(pData(sim)$Group)
for (group.name in group.names) {
de.facs <- getLNormFactors(n.genes, de.prob, de.downProb, de.facLoc,
de.facScale)
group.means.gene <- means.gene * de.facs
fData(sim)[[paste0("DEFac", group.name)]] <- de.facs
fData(sim)[[paste0("GeneMean", group.name)]] <- group.means.gene
}
return(sim)
}
#' Get log-normal factors
#'
#' Randomly generate multiplication factors from a log-normal distribution.
......
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