DESCRIPTION

Package: recall
Title: Calibrated clustering with artificial variables to avoid over-clustering in single-cell RNA-sequencing
Version: 0.0.0
Authors@R: 
    person("Alan", "DenAdel", , "alan_denadel@brown.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-7985-6789"))
Description: recall (Calibrated Clustering with Artificial Variables) is a method for protecting
 against over-clustering by controlling for the impact of double-dipping. The approach 
    can be applied to any clustering algorithm (implemented are the Louvain and Leiden algorithms with
    plans forK-means, and hierarchical clustering algorithms). The method provides state-of-the-art
    clustering performance and can rapidly analyze large-scale scRNA-seq studies and is 
    compatible with the Seurat library.
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: 
    Matrix,
    Seurat (>= 5.0.1),
    SingleCellExperiment,
    scDesign3,
    SummarizedExperiment,
    MASS,
    fitdistrplus,
    lamW,
    knockoff,
    future,
    stats,
    cli,
    stringr,
    countsplit
License: MIT + file LICENSE
Suggests: 
    knitr,
    markdown
Remotes:
    scDesign3=github::SONGDONGYUAN1994/scDesign3
VignetteBuilder: knitr
URL: https://lcrawlab.github.io/recall/