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benchmarkfdrData2019

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

Bioconductor version: Release (3.17)

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")):

Installation

To install this package, start R (version "4.3") and enter: 

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

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

Details

biocViews ExperimentData, ExperimentHub, ExpressionData, RNASeqData, SingleCellData
Version 1.14.0
License MIT + file LICENSE
Depends R (>= 3.6.0), SummarizedExperiment, ExperimentHub
Imports utils
Linking To
Suggests rmarkdown, knitr, BiocStyle, testthat, SummarizedBenchmark, dplyr, ggplot2, rlang
System Requirements
Enhances
URL
Bug Reports https://github.com/stephaniehicks/benchmarkfdrData2019/issues
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Depends On Me
Imports Me
Suggests Me
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Package Archives

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

Source Package benchmarkfdrData2019_1.14.0.tar.gz
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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/
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