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BANNs
Open-source feedforward Bayesian models with partially connected architectures guided by predefined SNP-set annotations, implemented in Python/TensorFlow, Python/numpy, and R fo...
What is BANNs?
Open-source feedforward Bayesian models with partially connected architectures guided by predefined SNP-set annotations, implemented in Python/TensorFlow, Python/numpy, and R for multi-scale genomic inference.
Product typeHealthcare Data & Research
Pricing ·
DeploymentSelf-hosted
APINot available
What teams use BANNs for
Multi-scale genomic inference
Genotype-phenotype association analysis
SNP-set enrichment analysis
Integrations and access
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
Platforms
IntegrationsAPI and webhooks
Languages
Support
What reviewers say
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Enterprise readiness
Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.
Data retention:
Benchmarks and comparisons
Independent benchmarksStructured task results are being verified.
Side-by-side comparisonsComparison workspaces will be available in a later release.
