{"id":69867,"date":"2026-11-14T21:57:43","date_gmt":"2026-11-14T13:57:43","guid":{"rendered":"https:\/\/www.biocloudservice.com\/wordpress\/?p=69867"},"modified":"2026-11-14T21:57:43","modified_gmt":"2026-11-14T13:57:43","slug":"stagate-spatial-radius-gap-neighbors-embedding","status":"publish","type":"post","link":"https:\/\/www.biocloudservice.com\/wordpress\/stagate-spatial-radius-gap-neighbors-embedding\/","title":{"rendered":"STAGATE \u7684\u7a7a\u95f4\u534a\u5f84\u600e\u4e48\u9009\uff1f\u5148\u6570\u6e05\u8de8\u8fc7\u7ec4\u7ec7\u88c2\u9699\u7684\u8fb9"},"content":{"rendered":"
\n

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\n\n\n\n\n\n\n\n
\u68c0\u67e5\u5bf9\u8c61<\/th>\n\u5e94\u4fdd\u5b58\u4ec0\u4e48<\/th>\n\u53ef\u4ee5\u56de\u7b54\u7684\u95ee\u9898<\/th>\n<\/tr>\n<\/thead>\n
\u7ec4\u7ec7\u5750\u6807\u4e2d\u7684\u5019\u9009\u8fb9<\/td>\n\u6765\u6e90\u3001\u76ee\u6807\u3001\u8ddd\u79bb\u53ca\u662f\u5426\u8de8\u754c<\/td>\n\u8f93\u5165\u56fe\u6709\u6ca1\u6709\u5141\u8bb8\u8de8\u8fc7\u7a7a\u9699<\/td>\n<\/tr>\n
\u5b66\u5230\u7684\u4f4e\u7ef4\u8868\u793a<\/td>\n\u6bcf\u4e2a\u6761\u5f62\u7801\u7684\u5411\u91cf\u53ca\u76f8\u4f3c\u6027<\/td>\n\u751f\u7269\u72b6\u6001\u63a5\u8fd1\u7684\u70b9\u662f\u5426\u805a\u5728\u4e00\u8d77<\/td>\n<\/tr>\n
\u8fdb\u4e00\u6b65\u5f97\u5230\u7684\u7c07\u7f16\u53f7<\/td>\n\u5206\u7fa4\u7b97\u6cd5\u3001\u53c2\u6570\u3001\u5207\u7247\u548c\u6807\u8bb0<\/td>\n\u7a7a\u95f4\u57df\u600e\u6837\u547d\u540d\uff0c\u6709\u65e0\u72ec\u7acb\u8bc1\u636e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
\"\u5efa\u56fe\u534a\u5f84\u4f1a\u8de8\u8fc7\u88c2\u9699\u5417\u300248
48 \u4e2a\u6a21\u62df\u70b9\u4f4d\uff5c\u5148\u6570\u5019\u9009\u8fb9\uff0c\u518d\u770b\u8bad\u7ec3\u540e\u7684\u6700\u8fd1\u90bb\u3002<\/figcaption><\/figure>\n

\u5b9e\u8dd1\u7ecf\u9a8c\uff5c\u5341\u4e8c\u6761\u8de8\u7f1d\u8fb9\u6ca1\u6709\u53d8\u6210\u5341\u4e8c\u4e2a\u9519\u5206\u70b9<\/h2>\n

\u6211\u4eec\u4f7f\u7528\u4f5c\u8005\u63d0\u4f9b\u7684 PyTorch Geometric \u5b9e\u73b0 STAGATE_pyG 1.0.0\uff0c\u5728 CPU \u4e0a\u8fd0\u884c\u3002\u73af\u5883\u4e2d PyTorch \u4e3a 2.5.1\uff0cPyTorch Geometric \u4e3a 2.4.0\uff0c\u5e76\u5b89\u88c5\u4e86\u5339\u914d\u7684\u7a00\u758f\u8fd0\u7b97\u6269\u5c55\u3002\u8f93\u5165\u4e3a\u516d\u884c\u516b\u5217\u7684\u56db\u5341\u516b\u4e2a\u70b9\uff0c\u5404\u6709\u4e8c\u5341\u56db\u4e2a\u57fa\u56e0\u3002\u5148\u8ba9\u666e\u901a\u683c\u70b9\u95f4\u8ddd\u4e3a\u4e00\u4e2a\u5355\u4f4d\uff0c\u518d\u5c06\u53f3\u534a\u90e8\u6574\u4f53\u5411\u53f3\u79fb\u52a8\u96f6\u70b9\u56db\uff0c\u4f7f\u4e24\u4fa7\u6700\u8fd1\u7684\u6a2a\u5411\u70b9\u76f8\u8ddd\u4e00\u70b9\u56db\u3002\u7528\u56fa\u5b9a\u79cd\u5b50\u751f\u6210\u8ba1\u6570\uff0c\u4e24\u4fa7\u5404\u56db\u4e2a\u57fa\u56e0\u503e\u5411\u4e8e\u9ad8\u8868\u8fbe\u3002\u8fd9\u4e9b\u5df2\u77e5\u4fa7\u522b\u53ea\u7528\u6765\u8bc4\u4ef7\u8f93\u51fa\uff0c\u4e0d\u4f5c\u4e3a\u6a21\u578b\u7684\u6807\u7b7e\u3002\u672c\u6b21\u6240\u7528\u7684\u4f5c\u8005\u5b9e\u73b0<\/a><\/p>\n

\u56fa\u5b9a\u5f52\u4e00\u5316\u8f93\u5165\u3001\u8bad\u7ec3\u79cd\u5b50\u3001\u516b\u5341\u8f6e\u8bad\u7ec3\u548c\u4e09\u7ef4\u5d4c\u5165\uff0c\u4e24\u6b21\u4ec5\u6539\u53d8\u5efa\u56fe\u534a\u5f84\u3002\u534a\u5f84\u4e3a 1.01 \u65f6\uff0c\u7a7a\u95f4\u8fb9\u8868\u6709\u4e00\u767e\u4e94\u5341\u4e8c\u6761\u6709\u5411\u8fb9\uff0c\u6ca1\u6709\u4e00\u6761\u6a2a\u8de8\u7f1d\u9699\u3002\u534a\u5f84\u4e3a 1.45 \u65f6\uff0c\u8fb9\u8868\u589e\u5230\u4e8c\u767e\u516b\u5341\u56db\u6761\uff0c\u5176\u4e2d\u5341\u4e8c\u6761\u8de8\u7f1d\uff0c\u76f8\u5f53\u4e8e\u6bcf\u884c\u4e00\u5bf9\u5de6\u53f3\u90bb\u5c45\uff0c\u4e24\u4e2a\u65b9\u5411\u5206\u522b\u8ba1\u6570\u3002\u65b0\u589e\u8fb9\u8fdc\u591a\u4e8e\u5341\u4e8c\u6761\uff0c\u56e0\u4e3a\u5728\u6bcf\u4e00\u4fa7\uff0c\u4ee5\u5355\u4f4d\u8ddd\u79bb\u6392\u5e03\u7684\u683c\u70b9\u4e4b\u95f4\u8fd8\u6709\u957f\u5ea6\u7ea6\u4e00\u70b9\u56db\u4e00\u56db\u7684\u5bf9\u89d2\u7ebf\u3002\u82e5\u628a\u5168\u90e8\u8fb9\u6570\u589e\u52a0\u90fd\u5f52\u56e0\u4e3a\u88c2\u9699\u88ab\u8de8\u8d8a\uff0c\u5c31\u4f1a\u628a\u65b0\u589e\u7684\u540c\u4fa7\u90bb\u5c45\u4e5f\u7b97\u9519\u3002<\/p>\n

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# \u7a7a\u95f4\u8fb9\u8868\u6765\u81ea STAGATE_pyG.Cal_Spatial_Net\uff0cside \u662f\u4ee5\u6761\u5f62\u7801\u4e3a\u7d22\u5f15\u7684\u4fa7\u522b\r\nedges = adata.uns["Spatial_Net"]\r\nleft = edges["Cell1"].map(side)\r\nright = edges["Cell2"].map(side)\r\nassert left.notna().all() and right.notna().all()\r\nprint(len(edges), int((left != right).sum()))\r\nprint(edges.loc[left != right, ["Cell1", "Cell2", "Distance"]].head())\r\n<\/code><\/pre>\n
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