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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–5 of 5 filtered models
Self-supervised transformer for population genetics, pretrained on 1000 Genomes data, that detects positive selection via haplotype-wise attention.
Decoder-only transformer that recasts ancestral recombination graph inference as next-token prediction, estimating coalescence times from variation.
Genomics foundation model for genome-scale SNP analysis, handling imputation, phasing, ancestry, and relatedness from one 0.8B-parameter checkpoint.
Frugal conditional diffusion model that samples human SNP haplotypes in PCA space, producing artificial genomes for a chosen continental ancestry.
A Wasserstein GAN that generates artificial human genomes in PCA space, synthesizing 65,535-SNP haplotypes for 26 worldwide populations.