Package: scFeatureFilter
Type: Package
Title: A correlation-based method for quality filtering of single-cell RNAseq
    data
Version: 1.31.0
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 (>= 3.6)
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, BiocStyle,
    SingleCellExperiment, SummarizedExperiment, scRNAseq,
    cowplot
VignetteBuilder: knitr
biocViews: ImmunoOncology, SingleCell, RNASeq, Preprocessing, GeneExpression
git_url: https://git.bioconductor.org/packages/scFeatureFilter
git_branch: devel
git_last_commit: edd3239
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
