mat2seurat: processing function

In wycwycpku/RSCORE: RSCORE (R-package of Single-Cell mOleculaR nEtwork)

Description

transfer raw matrix data to Seurat object

Usage

mat2seurat(
  Data,
  min_nFeature = 1000,
  min_nCount = 10000,
  features = NULL,
  selection.method = c("mean.var.plot", "vst", "dispersion"),
  nfeatures = NULL,
  mean.cutoff = c(0.1, Inf),
  dispersion.cutoff = c(0.1, Inf),
  names.filed = 1,
  names.delim = "_"
)

Arguments

Data	gene*cell matrix
min_nFeature	Include cells where at least this many features are detected
min_nCount	Include cells where at least this many counts are detected
features	Vector of features to use as variable features.
selection.method	How to choose top variable features.
nfeatures	Number of features to select as top variable features; only used when selection.method is set to 'dispersion' or 'vst'
mean.cutoff	A two-length numeric vector with low- and high-cutoffs for feature means
dispersion.cutoff	A two-length numeric vector with low- and high-cutoffs for feature dispersions

Value

Seurat object

wycwycpku/RSCORE documentation built on Sept. 5, 2021, 4:25 p.m.