Package: scConform
Type: Package
Title: Conformal Inference for Cell Type Annotation
Version: 1.1.1
Authors@R: c(
                  person("Daniela", "Corbetta", 
                  email = "daniela.corbetta@unipd.it", 
                  role = c("aut", "cre"), 
                  comment=c(ORCID="0009-0008-5026-8271")),
                  person("Tram", "Nguyen", role = "ctb"),
                  person("Nitesh", "Turaga", role = "ctb"),
                  person("Matteo", "Calgaro", role = "ctb"),
                  person("Ludwig", "Geistlinger", role = "ctb")
           )
Description: Builds prediction interval for cell type annotation using
        conformal inference and conformal risk control. It provides two
        main methods. The first one gives prediction intervals with
        coverage guarantees based on standard conformal inference. The
        second one instead gives hierarchical prediction intervals that
        are consistent with the cell ontology.
License: Artistic-2.0
Depends: R (>= 4.5.0)
Suggests: knitr, Matrix, rmarkdown, BiocStyle, VGAM, ontoProc,
        MerfishData, doParallel, scuttle, SingleCellExperiment, scran,
        testthat (>= 3.0.0)
Imports: igraph, stats, SummarizedExperiment, BiocParallel, Rgraphviz
VignetteBuilder: knitr
Roxygen: list(markdown = TRUE)
Encoding: UTF-8
biocViews: Software, Classification, SingleCell, Annotation
URL: https://github.com/ccb-hms/scConform
BugReports: https://github.com/ccb-hms/scConform/issues
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: libglpk-dev libxml2-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-07-02 08:47:28 UTC
RemoteUrl: https://github.com/bioc/scConform
RemoteRef: HEAD
RemoteSha: b7b5a77ea3d16724726491390f8722c173c51b39
NeedsCompilation: no
Packaged: 2026-07-02 12:15:46 UTC; root
Author: Daniela Corbetta [aut, cre] (ORCID:
    <https://orcid.org/0009-0008-5026-8271>),
  Tram Nguyen [ctb],
  Nitesh Turaga [ctb],
  Matteo Calgaro [ctb],
  Ludwig Geistlinger [ctb]
Maintainer: Daniela Corbetta <daniela.corbetta@unipd.it>