harmony: Fast, Sensitive, and Accurate Integration of Single Cell Data

Implementation of the Harmony algorithm for single cell integration, described in Korsunsky et al <doi:10.1038/s41592-019-0619-0>. Package includes a standalone Harmony function and interfaces to external frameworks.

Version: 0.1.0
Depends: R (≥ 3.5.0), Rcpp
Imports: dplyr, cowplot, tidyr, ggplot2, irlba, Matrix, methods, tibble, rlang
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: Seurat, testthat, knitr, rmarkdown
Published: 2021-06-02
Author: Ilya Korsunsky ORCID iD [cre, aut], Nghia Millard ORCID iD [aut], Jean Fan ORCID iD [aut, ctb], Kamil Slowikowski ORCID iD [aut, ctb], Miles Smith [ctb], Soumya Raychaudhuri ORCID iD [aut]
Maintainer: Ilya Korsunsky <ilya.korsunsky at gmail.com>
License: GPL-3
URL: software.broadinstitute.org/harmony
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: harmony results


Reference manual: harmony.pdf
Vignettes: Quick start to Harmony


Package source: harmony_0.1.0.tar.gz
Windows binaries: r-devel: harmony_0.1.0.zip, r-devel-UCRT: harmony_0.1.0.zip, r-release: harmony_0.1.0.zip, r-oldrel: harmony_0.1.0.zip
macOS binaries: r-release (arm64): harmony_0.1.0.tgz, r-release (x86_64): harmony_0.1.0.tgz, r-oldrel: harmony_0.1.0.tgz

Reverse dependencies:

Reverse imports: symphony
Reverse suggests: bcTSNE, Platypus


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