Bioconductor version: Release (3.13)
Benchmarking results for experimental and simulated data sets used in Korthauer and Kimes et al. (2019) to compare methods for controlling the false discovery rate.
Author: Stephanie Hicks [aut, cre] , Keegan Korthauer [aut] , Patrick Kimes [aut]
Maintainer: Stephanie Hicks <shicks19 at jhu.edu>
Citation (from within R,
enter citation("benchmarkfdrData2019")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("benchmarkfdrData2019")
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("benchmarkfdrData2019")
HTML | R Script | Exploring and updating FDR benchmarking results |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | ExperimentData, ExperimentHub, ExpressionData, RNASeqData, SingleCellData |
Version | 1.6.0 |
License | MIT + file LICENSE |
Depends | R (>= 3.6.0), SummarizedExperiment, ExperimentHub |
Imports | utils |
LinkingTo | |
Suggests | knitr, BiocStyle, testthat, SummarizedBenchmark, dplyr, ggplot2, rlang |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/stephaniehicks/benchmarkfdrData2019/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 | benchmarkfdrData2019_1.6.0.tar.gz |
Windows Binary | |
macOS 10.13 (High Sierra) | |
Source Repository | git clone https://git.bioconductor.org/packages/benchmarkfdrData2019 |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/benchmarkfdrData2019 |
Package Short Url | https://bioconductor.org/packages/benchmarkfdrData2019/ |
Package Downloads Report | Download Stats |
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