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Single-cell foundation model learning technology-agnostic cell embeddings by contrasting cell views rather than reconstructing gene expression counts.
Generative image perturbation autoencoder predicting cellular morphological responses to chemical and genetic perturbations from control images.
Single-cell perturbation prediction model that forecasts transcriptional responses to drug combinations and doses never experimentally measured.