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.
What it does
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.
- Multi-scale genomic inference
- Genotype-phenotype association analysis
- SNP-set enrichment analysis
- Category
- Healthcare data and research
- Built for
- Real estate and construction
- Users
- Genomic researchers, Statistical geneticists
- Public API
- Not offered
- Deployment
- Self-hosted
Not yet disclosed: platforms, languages and support channels.
Pricing
- Free plan$0
Prices as published by Biologically Annoted Neural Networks (BANNs), checked Oct 2026.
Security and compliance
No security details published yet
Biologically Annoted Neural Networks (BANNs) hasn't published certifications or security practices for BANNs that we could find. Ask their team for audit reports.
Reviews
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