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CellBench

Construct Benchmarks for Single Cell Analysis Methods

Bioconductor version: 3.23 · Package version: 1.28.0

This package contains infrastructure for benchmarking analysis methods and access to single cell mixture benchmarking data. It provides a framework for organising analysis methods and testing combinations of methods in a pipeline without explicitly laying out each combination. It also provides utilities for sampling and filtering SingleCellExperiment objects, constructing lists of functions with varying parameters, and multithreaded evaluation of analysis methods.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CellBench")

Details

MaintainerShian Su <su.s@wehi.edu.au>
AuthorShian Su [cre, aut], Saskia Freytag [aut], Luyi Tian [aut], Xueyi Dong [aut], Matthew Ritchie [aut], Peter Hickey [ctb], Stuart Lee [ctb]
LicenseGPL-3
URLhttps://github.com/shians/cellbench
Bug Reportshttps://github.com/Shians/CellBench/issues
Downloads rank405
Source branchRELEASE_3_23
biocViewsInfrastructure, SingleCell, Software

Documentation

Download

Dependencies

Depends: R (>= 3.6), SingleCellExperiment, magrittr, methods, stats, tibble, utils

Imports: assertthat, BiocGenerics, BiocFileCache, BiocParallel, dplyr, rlang, glue, memoise, purrr (>= 0.3.0), rappdirs, tidyr, tidyselect, lubridate

Suggests: BiocStyle, covr, knitr, rmarkdown, testthat, limma, ggplot2

Reverse dependencies

Suggests Me (2): corral, speckle