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
| Maintainer | Shian Su <su.s@wehi.edu.au> |
| Author | Shian Su [cre, aut], Saskia Freytag [aut], Luyi Tian [aut], Xueyi Dong [aut], Matthew Ritchie [aut], Peter Hickey [ctb], Stuart Lee [ctb] |
| License | GPL-3 |
| URL | https://github.com/shians/cellbench |
| Bug Reports | https://github.com/Shians/CellBench/issues |
| Downloads rank | 405 |
| Source branch | RELEASE_3_23 |
| biocViews | Infrastructure, SingleCell, Software |
Documentation
- Benchmark Data Manipulation
- Introduction to CellBench
- Tidyverse Patterns
- Timing methods in CellBench
- Writing Wrappers
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