Article

scGPT-spatial: Continual Pretraining of Single-Cell Foundation Model for Spatial Transcriptomics

2025-02-08

Abstract excerpt

Spatial transcriptomics has emerged as a pivotal technology for profiling gene expression of cells within their spatial context. The rapid growth of publicly available spatial data presents an opportunity to further our understanding of microenvironments that drive cell fate decisions and disease progression. However, existing foundation models, largely pretrained on single-cell RNA sequencing (scRNA-seq) data, fa...

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Literature Corpus work: 47196bca-aad4-5057-8839-fecf12dbbf94
DOI: 10.1101/2025.02.05.636714

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