gene.vs.molecule.cell.filter: Filter cells based on gene/molecule dependency

In pagoda2: Single Cell Analysis and Differential Expression

Filter cells based on gene/molecule dependency

Description

Filter cells based on gene/molecule dependency

Usage

gene.vs.molecule.cell.filter(
  countMatrix,
  min.cell.size = 500,
  max.cell.size = 50000,
  p.level = min(0.001, 1/ncol(countMatrix)),
  alpha = 0.1,
  plot = TRUE,
  do.par = TRUE
)

Arguments

countMatrix	input count matrix to be filtered
min.cell.size	numeric Min allowed cell size (default=500)
max.cell.size	numeric Max allowed cell size (default=5e4)
p.level	numeric Statistical confidence level for deviation from the main trend, used for cell filtering (default=min(1e-3,1/ncol(countMatrix)))
alpha	numeric Shading of the confidence band (default=0.1)
plot	boolean Plot the molecule distribution and the gene/molecule dependency fit (default=TRUE)
do.par	boolean Reset graphical parameters prior to plotting (default=TRUE)

Value

a filtered matrix

pagoda2 documentation built on June 24, 2024, 9:09 a.m.