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> .

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.5), Matrix, RANN, cluster
LinkingTo: Rcpp, RcppArmadillo
Published: 2021-08-04
Author: Vinay Swamy [aut, cre], David McGaughey [aut]
Maintainer: Vinay Swamy <swamyvinny at gmail.com>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: scPOP results

Documentation:

Reference manual: scPOP.pdf

Downloads:

Package source: scPOP_0.1.0.tar.gz
Windows binaries: r-devel: scPOP_0.1.0.zip, r-devel-UCRT: scPOP_0.1.0.zip, r-release: scPOP_0.1.0.zip, r-oldrel: scPOP_0.1.0.zip
macOS binaries: r-release (arm64): scPOP_0.1.0.tgz, r-release (x86_64): scPOP_0.1.0.tgz, r-oldrel: scPOP_0.1.0.tgz

Linking:

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