GEMLeR

GEMLeR provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality metrics (e.g. accuracy, precision, area under ROC curve, etc.) for classification, feature selection or clustering algorithms. This repository was inspired by an increasing need in machine learning / bioinformatics communities for a collection of microarray classification problems that could be used by different researches. This way many different classification or feature selection techniques can finally be compared to eachother on the same set of problems.

Data and Resources

This dataset has no data

Additional Info

Field Value
Source https://www.openml.org/d/1166
Author https://www.openml.org/
Last Updated September 6, 2022, 07:15 (UTC)
Created September 6, 2022, 07:15 (UTC)
contactPoint Know-Center GmbH
formats ARFF ;CSV;JSON;RDF;XLS / XLSX;
id_euhubs4data 87
idsExtraInfo https://euhub4data-graphs.itainnova.es/dataset/dcat#Dataset_300c92bd-6a02-4a25-94dd-8973097d2a3c
isRepo 1
modified 2014-10-07 00:00:00
privacy No personal data
rdfUrl https://www.openml.org/d/1166/rdf
uploadTime 2021-07-26T15:23:32.000Z