A graph for accessing and comparing knowledge concerning phenotypes across species and genetic backgrounds.
Also great for ontology-based graph machine learning experiments.
Please see the repo project for an overview.
Clone the repository, then install with poetry install
.
Download sources:
python run.py download
Transform sources:
python run.py transform
Build the merged graph:
python run.py merge
Prepare embeddings and classifiers with NEAT. These are defined in neat.yaml
.
Or, if running locally, try using neat_local.yaml
.