Researchers have developed COAST, a novel framework for predicting gene expression in spatial transcriptomics using histology images. This context-aware differential learning approach leverages both local and global context features, incorporating a Transformer encoder to capture intricate patterns. COAST is trained using a combined objective of absolute expression regression and signed differential regression between target and context spots, showing improved performance on multiple datasets. AI
IMPACT This framework could improve the accuracy and efficiency of gene expression analysis in biological research.
RANK_REASON The cluster contains an academic paper detailing a new machine learning framework for a specific scientific domain.
- arXiv
- COAST
- H&E stain
- Transformer++
- gene expression
- H&E histopathology images
- spatial transcriptomics
- Transformer encoder
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