SingleR.CreateSeurat: Wrapper function to create a Seurat object

Description Usage Arguments Value

View source: R/SingleR.Create.R

Description

Wrapper function to create a Seurat object

Usage

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SingleR.CreateSeurat(project.name, sc.data, min.genes = 200,
  min.cells = 2, regress.out = "nUMI", npca = 10, resolution = 0.8,
  temp.dir = NULL)

Arguments

project.name

the project name

sc.data

a matrix of single cell expression data

min.genes

Include cells where at least this many genes are detected.

min.cells

include genes with detected expression in at least this many cells. Will subset the raw.data matrix as well. To reintroduce excluded genes, create a new object with a lower cutoff.

regress.out

variables to regress out (previously latent.vars in RegressOut). For example, nUMI, or percent.mito.

npca

a vector of the dimensions to use in construction of the clustering and tSNE plot

resolution

clustering resolution. See Seurat manual for more details.

temp.dir

used by FindClusters function.

Value

a Seurat object


dviraran/SingleR documentation built on April 21, 2020, 3:23 p.m.