Package: scrapper
Version: 1.3.3
Date: 2025-05-28
Authors@R: person("Aaron", "Lun", role=c("cre", "aut"), email="infinite.monkeys.with.keyboards@gmail.com")
Title: Bindings to C++ Libraries for Single-Cell Analysis
Description: 
    Implements R bindings to C++ code for analyzing single-cell (expression) data, mostly from various libscran libraries. 
    Each function performs an individual step in the single-cell analysis workflow, ranging from quality control to clustering and marker detection.
    It is mostly intended for other Bioconductor package developers to build more user-friendly end-to-end workflows.
License: MIT + file LICENSE
Imports: methods, Rcpp, beachmat (>= 2.21.6), DelayedArray,
        BiocNeighbors (>= 1.99.0), Rigraphlib, parallel
Suggests: testthat, knitr, rmarkdown, BiocStyle, MatrixGenerics,
        sparseMatrixStats, Matrix, S4Vectors, SummarizedExperiment,
        SingleCellExperiment, scRNAseq, igraph
LinkingTo: Rcpp, assorthead, beachmat, BiocNeighbors
biocViews: Normalization, RNASeq, Software, GeneExpression,
        Transcriptomics, SingleCell, BatchEffect, QualityControl,
        DifferentialExpression, FeatureExtraction, PrincipalComponent,
        Clustering
SystemRequirements: C++17, GNU make
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.3.2
git_url: https://git.bioconductor.org/packages/scrapper
git_branch: devel
git_last_commit: 2cb1aba
git_last_commit_date: 2025-05-28
Repository: Bioconductor 3.22
Date/Publication: 2025-05-28
NeedsCompilation: yes
Packaged: 2025-05-28 21:33:21 UTC; biocbuild
Author: Aaron Lun [cre, aut]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 4.5.0; aarch64-apple-darwin20; 2025-05-29 02:31:49 UTC; unix
