OCOO-T is a flow-matching Transformer model that directly denoises continuous gene expression profiles to predict transcriptional responses to perturbations and reports state-of-the-art results on Tahoe100M, Replogle, and PBMC benchmarks.
Refining Colorectal Cancer Classification and Clinical Stratification through a Single-Cell Atlas
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Nine care-trajectory clusters derived from Dynamic Time Warping and hierarchical clustering independently predict mortality in cancer patients and show an inverse link to baseline anxiety in high-utilization groups.
citing papers explorer
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OCOO-T : A Simple and Scalable Virtual Cell Model for Transcriptional Perturbation Response Prediction
OCOO-T is a flow-matching Transformer model that directly denoises continuous gene expression profiles to predict transcriptional responses to perturbations and reports state-of-the-art results on Tahoe100M, Replogle, and PBMC benchmarks.
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Care Trajectories Are Linked to Mental Health and Mortality in Cancer Patients
Nine care-trajectory clusters derived from Dynamic Time Warping and hierarchical clustering independently predict mortality in cancer patients and show an inverse link to baseline anxiety in high-utilization groups.