benchmarkfdrData2019

This is the development version of benchmarkfdrData2019; for the stable release version, see benchmarkfdrData2019.

Data and Benchmarking Results from Korthauer and Kimes et al. (2019)

Bioconductor version: Development (3.21)

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] ORCID: 0000-0002-7858-0231 , Keegan Korthauer [aut] ORCID: 0000-0002-4565-1654 , Patrick Kimes [aut] ORCID: 0000-0001-6819-9077

Maintainer: Stephanie Hicks <shicks19 at jhu.edu>

Citation (from within R, enter citation("benchmarkfdrData2019")):

Korthauer K, Kimes PK, Okrah K, Duvallet C, Reyes A, Subramanian A, Teng M, Shukla C, Alm EJ, Hicks SC (2018). “A practical guide to methods controlling false discoveries in computational biology.” bioRxiv.

Installation

To install this package, start R (version "4.5") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("benchmarkfdrData2019")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("benchmarkfdrData2019")

Exploring and updating FDR benchmarking results	HTML	R Script
Reference Manual	PDF
NEWS	Text
LICENSE	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	ExperimentData, ExperimentHub, ExpressionData, RNASeqData, SingleCellData
Version	1.21.0
License	MIT + file LICENSE
Depends	R (>= 3.6.0), SummarizedExperiment, ExperimentHub
Imports	utils
System Requirements
URL
Bug Reports	https://github.com/stephaniehicks/benchmarkfdrData2019/issues

Suggests	rmarkdown, knitr, BiocStyle, testthat, SummarizedBenchmark, dplyr, ggplot2, rlang
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Build Report	Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	benchmarkfdrData2019_1.21.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
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