Package: scFeatureFilter Type: Package Title: A correlation-based method for quality filtering of single-cell RNAseq data Version: 1.33.0 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"), comment = c(ORCID = "0000-0001-8878-9357")), 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 (>= 4.5.0) Imports: dplyr (>= 0.7.3), ggplot2 (>= 2.1.0), magrittr (>= 1.5), rlang (>= 0.1.2), tibble (>= 1.3.4), stats, methods RoxygenNote: 7.3.2 Encoding: UTF-8 Suggests: testthat, knitr, rmarkdown, BiocStyle, MASS, SingleCellExperiment, SummarizedExperiment, scRNAseq, cowplot VignetteBuilder: knitr biocViews: ImmunoOncology, SingleCell, RNASeq, Preprocessing, GeneExpression URL: https://bioconductor.org/packages/scFeatureFilter/ BugReports: https://github.com/gdevailly/scFeatureFilter/issues Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:47:03 UTC RemoteUrl: https://github.com/bioc/scFeatureFilter RemoteRef: HEAD RemoteSha: 8951808c6256a6390a42a4c459a153ae26d8de7f NeedsCompilation: no Packaged: 2026-07-04 22:33:53 UTC; root Author: Angeles Arzalluz-Luque [aut], Guillaume Devailly [aut, cre] (ORCID: ), Anagha Joshi [aut] Maintainer: Guillaume Devailly