setMarkers: setMarkers

In zhongmicai/bigSCale2_singleCell: A framework for the analysis of single cell data (RNA-seq and ATAC-seq) including clustering,phenotyping,pseudotime and inferring gene regulatory networks.

Description

Organizes the differentially expressed genes in markers of different levels and signatures

Usage

setMarkers(object, ...)

Arguments

sce	object of the SingleCellExperiment class.
cutoff	Z-score cutoff to retain only genes with significant changes of expression. By default cutoff=3. If you feel you have too many(not enough) markers, decrease its value.

Value

object of the SingleCellExperiment class with markers and signatures safely stored inside.

Examples

sce=setMarkers(sce)

zhongmicai/bigSCale2_singleCell documentation built on Nov. 5, 2019, 1:26 p.m.