Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–2 of 2 filtered models
Compositional Perturbation Autoencoder that predicts single-cell transcriptional responses to unseen drug combinations and doses using disentangled latent representations.
Variational autoencoder that predicts single-cell perturbation responses across cell types and species using latent space vector arithmetic.