Spatial Gene Co-expression Network Reconstruction via Graph Neural Networks

Ai Cancer Biology › Spatial Transcriptomics AI in Cancer Research

Spatial Gene Co-expression Network Reconstruction via Graph Neural Networks

This investigation develops graph neural network architectures specifically designed to reconstruct gene regulatory networks while preserving spatial context from transcriptomic datasets. The contribution enables discovery of location-dependent gene regulatory mechanisms that drive cancer progression and identifies spatial hotspots of oncogenic signaling.

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