snapToSeurat

A vector of the dimensions to use.

eigs.dims

A logical variable indicates whether to normalize the cell by gene matrix.

norm

A logical variable indicagtes whether to scale the cell by gene matrix.

scale

Convert a snap object to a seurat object

A fast and accurate analysis toolkit for single cell ATAC-seq. Single cell ATAC-seq can resolve the heterogeneity of a complex tissue and reveal cell-type specific regulatory landscapes. However, the exceeding data sparsity has posed unique challenges for the data analysis. SnapATAC is an end-to-end bioinformatics pipeline for analyzing large-scale single cell ATAC-seq data which includes quality control, normalization, clustering analysis, differential analysis, motif inference and exploration of single cell ATAC-seq sequencing data. See Preissl S, Fang R, et al (2018) <doi:10.1038/s41593-018-0079-3> for more details.

snapToSeurat: Convert a snap object to a seurat object

Description

Usage

Arguments

Value