cleanCounts: Filter a counts matrix

In JEFworks-Lab/STdeconvolve: Reference-free Cell-Type Deconvolution of Multi-Cellular Spatially Resolved Transcriptomics Data

Filter a counts matrix

Description

Filter a counts matrix based on gene (row) and cell (column) requirements.

Usage

cleanCounts(
  counts,
  min.lib.size = 1,
  max.lib.size = Inf,
  min.reads = 1,
  min.detected = 1,
  verbose = FALSE,
  plot = FALSE
)

Arguments

counts	A sparse read count matrix. The rows correspond to genes, columns correspond to individual cells
min.lib.size	Minimum number of genes detected in a cell. Cells with fewer genes will be removed (default: 1)
max.lib.size	Maximum number of genes detected in a cell. Cells with more genes will be removed (default: Inf)
min.reads	Minimum number of reads per gene. Genes with fewer reads will be removed (default: 1)
min.detected	Minimum number of cells a gene must be seen in. Genes not seen in a sufficient number of cells will be removed (default: 1)
verbose	Verbosity (default: FALSE)
plot	Whether to plot (default: FALSE)

Value

a filtered read count matrix

Examples

data(mOB)
counts <- cleanCounts(mOB$counts, min.lib.size = 100)

JEFworks-Lab/STdeconvolve documentation built on July 17, 2024, 7:11 a.m.