scmap: A tool for unsupervised projection of single cell RNA-seq data

Single-cell RNA-seq (scRNA-seq) is widely used to investigate the composition of complex tissues since the technology allows researchers to define cell-types using unsupervised clustering of the transcriptome. However, due to differences in experimental methods and computational analyses, it is often challenging to directly compare the cells identified in two different experiments. scmap is a method for projecting cells from a scRNA-seq experiment on to the cell-types or individual cells identified in a different experiment.

Package details

AuthorVladimir Kiselev
Bioconductor views Classification DataImport DataRepresentation GeneExpression ImmunoOncology Preprocessing RNASeq Sequencing SingleCell Software SupportVectorMachine Transcription Transcriptomics Visualization
MaintainerVladimir Kiselev <[email protected]>
LicenseGPL-3
Version1.8.0
URL https://github.com/hemberg-lab/scmap
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("scmap")

Try the scmap package in your browser

Any scripts or data that you put into this service are public.

scmap documentation built on Oct. 31, 2019, 4:13 a.m.