555-SpaLP: Ultrafast for Large-Scale Spatial Omics Analysis
The paper introduces Local Pooling (LP), a revolutionary computational framework designed to process ultra-large-scale spatial omics data with unprecedented speed and efficiency. By utilizing a neighbor-indexing strategy instead of traditional adjacency matrices, the system significantly lowers GPU memory consumption, allowing it to analyze millions of cells on a single device. The researchers implemented this framework through SpaLP, a tool that excels at tasks such as niche identification, 3D organ atlas construction, and multi-omics integration across various biological platforms…
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