iterateSimulations: Returns significance data from a snapshot.

In singleCellTK: Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data

Description

Returns significance data from a snapshot.

Usage

iterateSimulations(
  originalData,
  useAssay = "counts",
  realLabels,
  totalReads,
  cells,
  iterations
)

Arguments

originalData	The SingleCellExperiment object storing all assay data from the shiny app.
useAssay	Character. The name of the assay to be used for subsampling.
realLabels	Character. The name of the condition of interest. Must match a name from sample data.
totalReads	Numeric. The total number of reads in the simulated dataset, to be split between all simulated cells.
cells	Numeric. The number of virtual cells to simulate.
iterations	Numeric. How many times should each experimental design be simulated.

Value

A matrix of significance information from a snapshot

Examples

data("mouseBrainSubsetSCE")
res <- iterateSimulations(mouseBrainSubsetSCE, realLabels = "level1class",
                          totalReads = 1000, cells = 10, iterations = 2)

singleCellTK documentation built on Nov. 8, 2020, 5:21 p.m.