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 []
Author https://www.openml.org/
Last Updated October 24, 2023, 20:11 (UTC)
Created October 24, 2023, 20:11 (UTC)
Issued
Modified 2014-10-07 00:00:00
creator
id_euhubs4data c785183f05e42f9129890fe83b45c316124af66b5a7880d8a4065fe430ecbd22_UCSGN7FPQCVD6T6KNRQMX62CSTYFCIOASFCYQBECROSS32EDTPIXRE5K
idsExtraInfo https://euhub4data-graphs.itainnova.es/dataset/dcat#Dataset_51327b3b-458c-4987-9250-45a6c9516cf6
is_repo 1
landing_page
privacy No personal data
rdf_url https://www.openml.org/d/1166/rdf
spatial
team Know-Center GmbH