Package: scFeatureFilter
Type: Package
Title: A correlation-based method for quality filtering of single-cell
        RNAseq data
Version: 1.6.0
Authors@R: c(
	person("Angeles", "Arzalluz-Luque", email = "angeles.arzalluz@gmail.com", role = c("aut")),
	person("Guillaume", "Devailly", email = "gdevailly@hotmail.com", role = c("aut", "cre")),
	person("Anagha", "Joshi", role = c("aut")))
Description: An R implementation of the correlation-based method developed in
    the Joshi laboratory to analyse and filter processed single-cell RNAseq data. It
    returns a filtered version of the data containing only genes expression values
    unaffected by systematic noise.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 3.5)
Imports: dplyr (>= 0.7.3), ggplot2 (>= 2.1.0), magrittr (>= 1.5), rlang
        (>= 0.1.2), tibble (>= 1.3.4), stats, methods
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, SingleCellExperiment,
        SummarizedExperiment, scRNAseq, cowplot
VignetteBuilder: knitr
biocViews: ImmunoOncology, SingleCell, RNASeq, Preprocessing,
        GeneExpression
git_url: https://git.bioconductor.org/packages/scFeatureFilter
git_branch: RELEASE_3_10
git_last_commit: ee50c8e
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: no
Packaged: 2019-10-30 03:04:01 UTC; biocbuild
Author: Angeles Arzalluz-Luque [aut],
  Guillaume Devailly [aut, cre],
  Anagha Joshi [aut]
Maintainer: Guillaume Devailly <gdevailly@hotmail.com>
Built: R 3.6.1; ; 2019-10-30 13:11:41 UTC; unix
