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readme: mondo outreach call
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dhimmel authored Sep 26, 2023
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This is a project to classify ontology nodes/classes/terms using machine learning.
It is currently in the early stages of development and should be considered experimental.

The first classification task implemented by this library is to classify nodes in EFO OTAR Slim as [low/medium/high precision](https://github.com/related-sciences/nxontology-ml/issues/2).
We presented on this application at the 2023-09-22 [Mondo Outreach Call](https://mondo.monarchinitiative.org/pages/workshop/ "Mondo Disease Ontology Workshops and Outreach Calls")
([slides](https://slides.com/dhimmel/efo-disease-precision "Classifying EFO/MONDO diseases as low, medium, or high precision using nxontology-ml")).

See [`nxontology`](https://github.com/related-sciences/nxontology) and [`nxontology-data`](https://github.com/related-sciences/nxontology-data) for other (more mature) components of the nxontology ecosystem.

## Development
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