525-River: Prioritizing Differential Spatial Gene Patterns
River is an interpretable deep learning framework designed to identify genes with differential spatial expression patterns (DSEP) across multiple conditions. It utilizes a two-branch architecture and attribution methods to outperform existing tools in scalability and accuracy.
References:
Cui Y, Yuan Z. Prioritizing perturbation-responsive gene patterns using interpretable deep learning[J]. Nature Communications, 2025, 16(1): 6095.
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