run.DE.matrix: run DE given an expression matrix

run.DE.matrixR Documentation

run DE given an expression matrix

Description

run DE given an expression matrix

Usage

run.DE.matrix(
  xdata,
  xlabel,
  batch = NULL,
  out.prefix = NULL,
  ncell.downsample = NULL,
  T.fdr = 0.05,
  T.logFC = 1,
  n.cores = NULL,
  group = NULL,
  gid.mapping = NULL,
  rn.seed = 9999,
  method = "lm"
)

Arguments

xdata

data frame or matrix; rows for genes and columns for samples

xlabel

factor; cluster label of the samples, with length equal to the number of columns in xdata

batch

factor; covariate. (default: NULL)

out.prefix

character; if not NULL, write the result to the file(s). (default: NULL)

ncell.downsample

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

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)

n.cores

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

group

character; group of interest, if NULL the last group will be used (default: NULL)

gid.mapping

named character; gene id to gene symbol mapping. (default: NULL)

rn.seed

integer; random number seed (default: 9999)

method

character; . (default: "lm")

Details

diffeerentially expressed genes dectection using naive methods

Value

a matrix with dimention as input ( samples in rows and variables in columns)


Japrin/sscClust documentation built on Dec. 15, 2022, 1:04 p.m.