FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction
Predicting spatial gene expression from routine H\&E enables large-scale molecular profiling, yet current models treat this as isolated pointwise tasks, thereby overlooking essential biological structures like gene coordination and spatial distribution. To preserve these relationships, we introduce \textbf{FLAG}, a diffusion-based framework that redefines this task as structured distribution modeling. At the same time, we identify the critical \textbf{Gene Dimension Curse}, where joint modeling
Record details
Published: 18 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Biotech
Retrieved: 14 July 2026
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ethics.ai (18 May 2026), “FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction,” evidence record 4140, https://ethics.ai/record/4140 (originally published by arXiv).
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