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README.md
In GSEABenchmarkeR: Reproducible GSEA Benchmarking
GSEABenchmarkeR
The GSEABenchmarkeR package implements an extendable framework for
reproducible evaluation of set- and network-based methods for enrichment
analysis of gene expression data. This includes support for the efficient
execution of these methods on comprehensive real data compendia (microarray and
RNA-seq) using parallel computation on standard workstations and
institutional computer grids. Methods can then be assessed with respect to
runtime, statistical significance, and relevance of the results for the
phenotypes investigated.
Installation
You can install the GSEABenchmarkeR package from GitHub with:
# install.packages("devtools")
devtools::install_github("waldronlab/GSEABenchmarkeR")
Try the GSEABenchmarkeR package in your browser
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GSEABenchmarkeR documentation built on Dec. 12, 2020, 2 a.m.
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GSEABenchmarkeR
The GSEABenchmarkeR package implements an extendable framework for reproducible evaluation of set- and network-based methods for enrichment analysis of gene expression data. This includes support for the efficient execution of these methods on comprehensive real data compendia (microarray and RNA-seq) using parallel computation on standard workstations and institutional computer grids. Methods can then be assessed with respect to runtime, statistical significance, and relevance of the results for the phenotypes investigated.
Installation
You can install the GSEABenchmarkeR package from GitHub with:
# install.packages("devtools")
devtools::install_github("waldronlab/GSEABenchmarkeR")
Try the GSEABenchmarkeR package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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