vinay-swamy/scPOP: Metrics for Benchmarking scRNA-Seq Batch Correction

Evaluate batch effect correction algorithms for scRNA-seq using multiple established methods, including the Adjusted Rand Index, Normalized Mutual Information, Local Inverse Simpson Index, and Silhouette Width. Methods for aggregating and weighing multiple metrics together are also included. For further explanation of methods, see Swamy et al. (2021)<doi:10.1101/2021.03.26.437190> .

Getting started

Package details

MaintainerVinay Swamy <swamyvinny@gmail.com>
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("vinay-swamy/scPOP")
vinay-swamy/scPOP documentation built on Aug. 8, 2021, 1:04 p.m.