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 imp...去小宇宙查看完整单集简介
前往小宇宙评论区与主播互动
前往小宇宙评论区与主播互动
Fler avsnitt av Paper Talk
Visa alla avsnitt av Paper TalkPaper Talk med 淼淼Elva finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.
