All Competitors

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

Showing 1–4 of 4 filtered models

  • RNAGAN

    189—
    The University of Hong KongMarch 20, 2026cancercell_type_annotationdata_generation+5

    Generative adversarial network trained on single-cell and bulk RNA-seq for sample stratification, marker analysis, and synthetic data generation.

    Single-cell
    60Openness

  • DCM (Discrete Cell Models)

    —3—
    University of BristolFebruary 19, 2026data_generationdiffusionfoundation_model+4

    Single-cell foundation model applying discrete diffusion directly to scRNA-seq counts, generating unconditional and perturbation-conditioned profiles.

    Single-cell
    10Openness

  • PGL (Portraying Gene Language)

    —1—
    Seoul National University HospitalJanuary 12, 2026cancercell_type_annotationdata_generation+6

    Single-cell RNA-seq language model that treats cells as gene-expression tokens, synthesizing whole transcriptomes from tissue and disease metadata.

    Single-cellSpatial omics
    2Openness

  • scDiffusion-X

    407—
    Tsinghua UniversityFebruary 27, 2025cross_attentiondata_generationdiffusion+4

    Latent diffusion model for single-cell multi-omics generation and modality translation, with gradient-based inference of gene regulatory networks.

    Single-cell
    85Openness