ssc.DEGene.limma: identify differential genes of each cluster (comparing the...

View source: R/sscClust.R

ssc.DEGene.limmaR Documentation

identify differential genes of each cluster (comparing the cluster with all others), using limma

Description

identify differential genes of each cluster (comparing the cluster with all others), using limma

Usage

ssc.DEGene.limma(
  obj,
  assay.name = "exprs",
  ncell.downsample = NULL,
  group.var = "majorCluster",
  group.list = NULL,
  group.mode = "multi",
  batch = NULL,
  out.prefix = NULL,
  n.cores = NULL,
  do.plot = T,
  T.fdr = 0.01,
  T.logFC = 1,
  T.expr = 0.3,
  T.bin.useZ = T,
  verbose = 1,
  do.force = F,
  method = "limma"
)

Arguments

obj

object of singleCellExperiment class

assay.name

character; which assay (default: "exprs")

ncell.downsample

integer; for each group, number of cells downsample to. (default: NULL)

group.var

character; column in the colData(obj) used for grouping. (default: "majorCluster")

group.list

character; DEG of groups to calculate. If NULL, all groups. (default: "NULL")

group.mode

character; One of "multi", "multiAsTwo" (default: "multi")

batch

character; covariate. (default: NULL)

out.prefix

character; output prefix. (default: NULL)

n.cores

integer; number of cores used, if NULL it will be determined automatically (default: NULL)

do.plot

logical; whether plot. (default: TRUE)

T.fdr

numeric; threshold of the adjusted p value of moderated t-test (default: 0.05)

T.logFC

numeric; threshold of the absoute diff (default: 1)

T.expr

numeric; threshold for binarizing exprs (default: 0.3)

T.bin.useZ

logical; wheter use the z-score version of assay.namme for binarizing exprs (default: T)

verbose

integer; verbose level. (default: 1)

do.force

logical; . (default: FALSE)

method

character; . (default: "limma")

Details

identify differential genes using limma


Japrin/sscClust documentation built on May 23, 2024, 7:12 a.m.