{"id":69693,"date":"2026-11-14T21:40:46","date_gmt":"2026-11-14T13:40:46","guid":{"rendered":"https:\/\/www.biocloudservice.com\/wordpress\/?p=69693"},"modified":"2026-11-14T21:40:46","modified_gmt":"2026-11-14T13:40:46","slug":"rctd-spot-weights-doublet-full-reference-types","status":"publish","type":"post","link":"https:\/\/www.biocloudservice.com\/wordpress\/rctd-spot-weights-doublet-full-reference-types\/","title":{"rendered":"RCTD \u7684\u4e24\u4e2a\u7ec6\u80de\u7c7b\u578b\u3001\u4e00\u4e2a\u96f6\u548c\u4e00\u5f20\u997c\u56fe\uff0c\u5206\u522b\u80fd\u8bf4\u660e\u4ec0\u4e48\uff1f"},"content":{"rendered":"
\n

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\n\n\n\n\n\n\n\n
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\u8bfb\u77e9\u9635\u524d\u786e\u8ba4\u81ea\u5df1\u7528\u7684\u662f\u54ea\u4e2a\u5b9e\u73b0<\/h2>\n

\u540c\u4e00\u4e2a\u5305\u540d\u5728\u539f\u4f5c\u8005 GitHub \u7248\u548c Bioconductor \u9002\u914d\u7248\u4e2d\u6709\u4e0d\u540c\u7684\u5bf9\u8c61\u63a5\u53e3\u3002\u539f\u4f5c\u8005\u7248\u53ef\u89c1\u5e26\u70b9\u7684\u51fd\u6570\u540d\u548c\u5bf9\u8c61\u69fd\uff0c\u6559\u7a0b\u4f1a\u6309\u70b9\u4f4d\u8bfb\u53d6\u7ed3\u679c\u3002Bioconductor \u9002\u914d\u7248\u7684\u7a7a\u95f4\u7ed3\u679c\u4f7f\u7528\u7a7a\u95f4\u5b9e\u9a8c\u5bf9\u8c61\uff0c\u6743\u91cd assay \u4e2d\u7ec6\u80de\u7c7b\u578b\u5728\u884c\u3001\u70b9\u4f4d\u5728\u5217\u3002\u82e5\u590d\u5236\u53e6\u4e00\u7248\u6559\u7a0b\u7684\u6c42\u548c\u65b9\u5411\uff0c\u4e00\u4e0b\u5c31\u80fd\u5f97\u5230\u4e00\u4e32\u6570\u5b57\uff0c\u504f\u504f\u90a3\u4e9b\u6570\u5b57\u5df2\u7ecf\u6ca1\u6709\u201c\u4e00\u4e2a\u70b9\u4f4d\u7684\u6743\u91cd\u5408\u8ba1\u201d\u8fd9\u4e2a\u542b\u4e49\u3002\u7b2c\u4e00\u6b65\u5e94\u8be5\u6253\u5370\u5bf9\u8c61\u7c7b\u522b\u3001\u6743\u91cd\u77e9\u9635\u884c\u5217\u540d\uff0c\u518d\u540c\u65f6\u627e\u4e00\u4e2a\u5df2\u77e5\u7684\u7c7b\u578b\u540d\u548c\u4e00\u679a\u5df2\u77e5\u6761\u5f62\u7801\u3002Bioconductor \u9002\u914d\u7248\u6559\u7a0b\u53ca\u77e9\u9635\u65b9\u5411<\/a><\/p>\n

# Bioconductor \u9002\u914d\u7248\uff0cresults \u662f runRctd \u7684\u8f93\u51fa\r\nw <- SummarizedExperiment::assay(results, "weights")\r\ncl <- SummarizedExperiment::colData(results)$spot_class\r\nstopifnot(ncol(w) == length(cl))\r\nhead(data.frame(spot = colnames(w), class = cl, weight_sum = colSums(w)))\r\n<\/code><\/pre>\n
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