Package: conformeR Type: Package Title: Conformalized differential expression analysis of multi-condition single-cell data Version: 0.99.1 Authors@R: c(person(given="Justine", family="Leclerc", email="justine.leclerc@usz.ch", role = c("cre", "aut"), comment = c(ORCID = "0009-0002-5667-0778")), person("Christof", "Seiler", email="christof.seiler@usz.ch", role="aut", comment = c(ORCID = "0000-0001-8802-3642")), person("Digital Society Initiative - University of Zurich",role = "fnd", comment = "RAI - Reliable AI for Biomedicine")) Description: conformeR provides conformal prediction layers for the cell neighborhood construction step of the LEMUR framework. It implements two complementary approaches, conformal clustering and conformal selection, to quantify uncertainty in the resulting cell neighborhoods, together with tools for visualizing and interpreting the resulting uncertainty sets. URL: https://github.com/juslecl/conformeR BugReports: https://github.com/juslecl/conformeR/issues License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Suggests: testthat (>= 3.0.0), S4Vectors, BiocStyle, tidyr, purrr, knitr, rmarkdown, edgeR, MASS, utils Config/testthat/edition: 3 Imports: dplyr, ggplot2, tibble, SummarizedExperiment, SingleCellExperiment, BiocParallel, rsample, rlang, stats, lemur, glmGamPoi, uwot, ggnewscale, cowplot, scales, grid, methods, tidyselect Depends: R (>= 4.5.0), VignetteBuilder: knitr LazyData: false BiocType: Software biocViews: Transcriptomics, DifferentialExpression, SingleCell, DimensionReduction, Classification, Clustering, Visualization,GeneExpression, GenePrediction, GeneTarget Config/pak/sysreqs: libicu-dev libssl-dev zlib1g-dev Repository: https://biocstaging.r-universe.dev Date/Publication: 2026-10-19 13:54:25 UTC RemoteUrl: https://github.com/BiocStaging/conformeR RemoteRef: HEAD RemoteSha: 87cc23ed1c4c60e8016e6f2d320d8d270009af12 NeedsCompilation: no Packaged: 2026-10-19 20:13:42 UTC; root Author: Justine Leclerc [cre, aut] (ORCID: ), Christof Seiler [aut] (ORCID: ), Digital Society Initiative - University of Zurich [fnd] (RAI - Reliable AI for Biomedicine) Maintainer: Justine Leclerc