create_sce_haircut: Create a single-cell Haircut experiment

In hesselberthlab/scrunchy: Single Cell Reconstruction of Functional Heterogeneity

Description

Create a single-cell Haircut experiment

Usage

create_sce_haircut(path, norm_method = "clr_normalize", adducts = NULL)

Arguments

path	path to output matrices, or R matrix object.
norm_method	Normalization method for counts. Normalized data is stored in logcounts. Set to NULL to skip normalization.
adducts	data_frame with positions of hairpin adducts. Expects two columns named adduct and pos.

Value

SingleCellExperiment containing a sparseMatrix of counts

Examples

create_sce_haircut(scrunchy_data("haircut/"))

# using pre-loaded matrix
mat <- SingleCellExperiment::counts(fsce_small[["haircut"]])
create_sce_haircut(mat)

hesselberthlab/scrunchy documentation built on Nov. 11, 2019, 2:29 p.m.