All Competitors

Every biological foundation model, evaluated and ranked by the bio.rodeo team

Showing 1–2 of 2 filtered models

  • TESSERA

    561—
    Weill Cornell MedicineJune 1, 2026cancer_genomicscell_type_annotationcontrastive_learning+5

    Self-supervised foundation model that embeds cancer genomes from somatic SNVs and copy-number alterations across 33 tumor types for tumor subtyping.

    DNA & Gene
    28Openness

  • muat

    813—
    University of HelsinkiApril 3, 2026attentioncancer_genomicsrepresentation_learning+5

    Transformer that classifies tumour types and subtypes from somatic variants in whole-genome and whole-exome data, with auto-downloading checkpoints.

    DNA & Gene
    65Openness