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A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.

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datamicroarray

The R package datamicroarray provides a collection of scripts to download, process, and load high-dimensional microarray data sets. Each data set is listed by the first author on the original paper. The data sets are organized them below by category; note that most of the data sets are cancer-related. Click a data set to see its description, a link to the original paper, and additional information.

Installation

You can install the latest package version by typing the following at the R console:

library(devtools)
install_github('datamicroarray', 'ramey')

Miscellaneous

This project is a collection of scripts to download, process, and load microarray data sets. Most of them are small sample, high-dimensional data sets (i.e. the small n, large p problem). Additionally, most of the data sets presented here have been widely studied in the genetics/microarray, bioinformatics, statistics, and computer science literatures.

For each data set, I have included a small set of scripts in the main project folder that automatically download, clean, and save the data set if necessary. The filename scheme of the scripts each begin with numbers that indicate the order in which the files should be sourced.

About

A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.

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