Difference between revisions of "Kover"
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Latest revision as of 15:43, 18 August 2020
Description
Kover is an out-of-core implementation of rule-based machine learning algorithms that has been tailored for genomic biomarker discovery. It produces highly interpretable models, based on k-mers, that explicitly highlight genotype-to-phenotype associations.
Environment Modules
Run module spider kover
to find out what environment modules are available for this application.
System Variables
- HPC_KOVER_DIR - installation directory
- HPC_KOVER_BIN - executable directory
Citation
If you publish research that uses kover you have to cite it as follows: