Bioconductor version: Release (3.11)
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.
Author: Shian Su [cre, aut], Saskia Freytag [aut], Luyi Tian [aut], Xueyi Dong [aut], Matthew Ritchie [aut], Peter Hickey [ctb], Stuart Lee [ctb]
Maintainer: Shian Su <su.s at wehi.edu.au>
Citation (from within R,
enter citation("CellBench")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("CellBench")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CellBench")
HTML | CellBenchCaseStudy.html | |
R Script | Data Manipulation | |
HTML | R Script | Introduction |
R Script | Tidyverse Patterns | |
HTML | R Script | Timing |
HTML | R Script | Writing Wrappers |
Reference Manual | ||
Text | NEWS |
biocViews | Infrastructure, Software |
Version | 1.4.1 |
In Bioconductor since | BioC 3.9 (R-3.6) (1.5 years) |
License | GPL-3 |
Depends | R (>= 3.6), SingleCellExperiment, magrittr, methods, stats, tibble, utils |
Imports | BiocFileCache, BiocParallel, dplyr, rlang, glue, memoise, purrr (>= 0.3.0), rappdirs, tidyr, tidyselect, lubridate |
LinkingTo | |
Suggests | BiocStyle, covr, knitr, rmarkdown, testthat, limma, ggplot2 |
SystemRequirements | |
Enhances | |
URL | https://github.com/shians/cellbench |
BugReports | https://github.com/Shians/CellBench/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | CellBench_1.4.1.tar.gz |
Windows Binary | CellBench_1.4.1.zip |
macOS 10.13 (High Sierra) | CellBench_1.4.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/CellBench |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CellBench |
Package Short Url | https://bioconductor.org/packages/CellBench/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.11 | Source Archive |
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