Loading…
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–6 of 6 filtered models
Single-cell cancer model scoring driver-associated expression programs by projecting scRNA-seq through axes frozen from genotype-matched bulk tumors.
Somatic mutation risk model predicting base-pair mutability from DNA sequence per COSMIC signature, separating passenger hotspots from cancer drivers.
Self-supervised foundation model that embeds cancer genomes from somatic SNVs and copy-number alterations across 33 tumor types for tumor subtyping.
Transformer that classifies tumour types and subtypes from somatic variants in whole-genome and whole-exome data, with auto-downloading checkpoints.
Somatic copy-number alteration calling from tumor whole-genome sequencing, using Mamba and Hyena blocks over genome-scale inputs of about 1M loci.
Whole-genome somatic copy-number aberration prediction from bulk RNA-seq alone, with one pan-cancer model covering 33 tumor types.