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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–4 of 4 filtered models
Non-coding variant prioritization for rice GWAS loci, ranking SNPs by predicted effects on 12 chromatin features via a fine-tuned DNABERT-2.
Genomic foundation model for rice, pretrained on 422 Oryza genomes with a 1 Mbp context window and a 1.25B-parameter mixture-of-experts transformer.
Hierarchical language model for atlas-level cell-type annotation of scATAC-seq data that annotates new query datasets without retraining.
Genomic DNA foundation model using ELECTRA-style replaced-token detection and single-nucleotide tokenization; 93M parameters rival 2.5B baselines.