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SpaFactor: Lightweight Spatial Context-Aware Gene Program Modeling for Histology-to-Transcriptomics Inference
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gene expressionspatial transcriptomicsmachine learningbiological modeling
2609.28563
Builder Relevance
1h ago80%
Abstract
SpaFactor introduces a lightweight framework for predicting spatial gene expression from histology images, improving predictive accuracy and biological fidelity.
Reality Card
Core Claim
SpaFactor achieves the best aggregate performance in predicting spatially variable genes across five public cohorts by effectively modeling tissue context and gene programs.
Method / Result
Achieves best aggregate performance across five public cohorts.
Limitations
The paper does not specify limitations or reproducibility concerns.
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