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BenchHub

Comprehensive Collection of Curated Benchmarking Datasets and their Evaluation

Bioconductor version: 3.24 · Package version: 0.99.15

The trio is the combination of a data set, a metric and supporting evidence which provides some best case scenario, if not the ground truth itself. BenchHub has data downloaders for FigShare, G.E.O., and ExperimentHub. Caching is used to avoid lengthy downloads after the first time a data set is accessed. The user may also specify their own data set and supporting evidence. The Benchmark Insights module provides functionality for comparing and contrasting the performance of alternative algorithms.

Installation

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

BiocManager::install("BenchHub")

Details

MaintainerSOMS Maintainer <maths.bioconductor@sydney.edu.au>
AuthorCabiria Liang [aut], Sanghyun Kim [aut], Nick Robertson [aut], Marni Torkel [aut], Yue Cao [aut] (ORCID: <https://orcid.org/0000-0002-2356-4031>), Dario Strbenac [aut], Jean Yang [aut], SOMS Maintainer [aut, cre]
LicenseMIT + file LICENSE
URLhttps://sydneybiox.github.io/BenchHub/
Bug Reportshttps://github.com/SydneyBioX/BenchHub/issues
Downloads rank61
Source branchdevel
biocViewsDataImport, DataRepresentation, Infrastructure, Software, Visualization, WorkflowStep

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageBenchHub_0.99.15.tar.gz
Windows binary (x86_64)BenchHub_0.99.15.zip
macOS binary (arm64)BenchHub_0.99.15.tgz
macOS binary (x86_64)BenchHub_0.99.15.tgz
Dependencies

Depends: R (>= 4.5.0)

Imports: cli, fs, glue, R6, rlang, httr2, stringr, purrr, dplyr, reshape2, utils, curl, googlesheets4, survAUC, Hmisc, ggrepel, ggsci, ggcorrplot, broom, dotwhisker, splitTools, magrittr, withr, ggplot2, data.table, jsonlite

Suggests: anndata, readr, GEOquery, ExperimentHub, zen4R, knitr, ks, rmarkdown, SingleCellExperiment, SummarizedExperiment, survival, cvTools, funkyheatmap, testthat (>= 3.0.0), clusterProfiler, DOSE, DO.db, EnsDb.Hsapiens.v86, BiocStyle, tidyverse, glmnet, scran, scuttle, edgeR