calcEffectSizes: Finds the effect sizes for all genes in the original dataset,...

In mmkhan19/singleCellTK: Interactive Analysis of Single Cell RNA-Seq Data

Finds the effect sizes for all genes in the original dataset, regardless of significance.

Description

Finds the effect sizes for all genes in the original dataset, regardless of significance.

Usage

calcEffectSizes(countMatrix, condition)

Arguments

countMatrix	Matrix. A simulated counts matrix, sans labels.
condition	Factor. The condition labels for the simulated cells. If more than 2 conditions are given, the first will be compared to all others by default.

Value

A vector of cohen's d effect sizes for each gene.

Examples

data("mouseBrainSubsetSCE")
res <- calcEffectSizes(assay(mouseBrainSubsetSCE, "counts"),
                       condition = colData(mouseBrainSubsetSCE)[, "level1class"])

mmkhan19/singleCellTK documentation built on March 22, 2022, 7:43 a.m.