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Benchmarks
AngeloDAngelo edited this page Oct 10, 2026
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The bundled synthetic example demonstrates KEA, KRS and K-RBP with small inputs and fixed seeds. It is a software check, not a measure of biological prediction accuracy.
python examples/run_demo.py --out results/demoDemo outputs are in examples/demo_output:
- KEA recovers the injected
ACGrepeat signature (ACG,CGA,GAC). - KRS selects eight words for the example target at
top_pct=10. - K-RBP evaluates three fictional profiles and assigns a positive Cliff's delta to the query-favoring profile.
The regression tests cover reference counting boundaries and overlaps, KRS ranks and ties, K-RBP effect direction, K-map, K-CDS and miRNA seed orientation:
python -m pip install -e '.[dev]'
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