yycunc/SMNN: SMNN: Batch Effect Correction for Single-cell RNA-seq data with Supervised Mutual Nearest Neighbor Detection

This function SMNNcorrect is designed to perform supervised batch effect correction for scRNA-seq data by first identifying nearest neighbors (NNs) within corresponding clusters (or cell types) and then leveraging information from these NNs.

Getting started

Package details

Authorc(person("Yuchen", "Yang", email = "yyuchen@email.unc.edu", role = c("aut", "cre")), person("Gang", "Li", email = "franklee@live.unc.edu", role = c("aut")), person("Huijun", "Qian", email = "hjqian@live.unc.edu", role = c("aut")), person("Yun", "Li", email = "yunli@med.unc.edu", role = c("aut")))
Bioconductor views GUI RNASeq SingleCell Software Transcription Transcriptomics
MaintainerYuchen Yang <yyuchen@email.unc.edu>
LicenseGPL-3
Version1.2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("yycunc/SMNN")
yycunc/SMNN documentation built on Nov. 17, 2020, 2:32 p.m.