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Hyperbolic Contrastive Learning with Entailment for Spatial Transcriptomics
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contrastive learningspatial transcriptomicsgene expressionhyperbolic geometry
2609.16207
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1h ago80%
Abstract
The paper presents a novel hyperbolic contrastive learning model that enhances gene expression prediction in Spatial Transcriptomics by addressing issues of over-smoothing and uniformity in predictions.
Reality Card
Core Claim
HyCLoST achieves a 6% reduction in MSE and an 8% increase in PCC across 26 ST datasets compared to previous methods.
Method / Result
6% reduction in MSE and 8% increase in PCC
Limitations
High operational costs and specialized equipment requirements limit accessibility and scalability of Spatial Transcriptomics.
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