All Competitors

Deep generative model simulating fluorescence microscopy images for all 12,800 human proteins across three landmark stains, providing proteome-wide virtual cell imaging at single-cell resolution.

Multipurpose generative adversarial network trained once on single-cell and bulk RNA-seq to perform stratification, marker analysis, data generation, and vectorization.

Generative image perturbation autoencoder that predicts cellular morphological responses to chemical and genetic perturbations using untreated cell images as input.