CellWorld: latent-space predictive pretraining enables foundation models for spatial transcriptomics
Read the original at arxiv.org→arXiv:2608.06659v1 Announce Type: new Abstract: This paper shows that latent-space predictive pretraining can provide a scalable route to foundation models for spatial transcriptomics. Existing spatial...
Original headline: "CellWorld: From Gene-Level Reconstruction to Latent Cell Prediction in Spatial Transcriptomics Foundation Models"
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- Aug 10, 04:00 UTC arXiv cs.AI lead source CellWorld: From Gene-Level Reconstruction to Latent Cell Prediction in Spatial Transcriptomics Foundation Models