{"id":67387,"date":"2026-11-14T20:02:31","date_gmt":"2026-11-14T12:02:31","guid":{"rendered":"https:\/\/www.biocloudservice.com\/wordpress\/?p=67387"},"modified":"2026-11-14T21:51:06","modified_gmt":"2026-11-14T13:51:06","slug":"alevin-fry-usa-counts-spliced-unspliced-ambiguous","status":"publish","type":"post","link":"https:\/\/www.biocloudservice.com\/wordpress\/alevin-fry-usa-counts-spliced-unspliced-ambiguous\/","title":{"rendered":"alevin-fry \u7684\u4e09\u4e2a\u8ba1\u6570\u5c42\u600e\u4e48\u9009\uff1f\u628a\u540c\u4e00\u57fa\u56e0\u7684 6 \u548c 9 \u7b97\u6e05\u695a"},"content":{"rendered":"
\n

\u540c\u4e8b\u628a\u4e00\u4e2a\u5355\u7ec6\u80de\u5b9a\u91cf\u76ee\u5f55\u8bfb\u8fdb Python\uff0c\u4f60\u628a\u540c\u4e00\u4e2a\u76ee\u5f55\u8bfb\u8fdb\u53e6\u4e00\u4efd\u7b14\u8bb0\u672c\u3002\u7ec6\u80de\u6761\u5f62\u7801\u76f8\u540c\uff0c\u57fa\u56e0\u540d\u4e5f\u76f8\u540c\uff0c\u6709\u4e00\u4e2a\u57fa\u56e0\u5374\u5206\u522b\u663e\u793a\u516d\u4e2a\u548c\u4e5d\u4e2a\u5206\u5b50\u3002\u5148\u4e0d\u8981\u91cd\u65b0\u6bd4\u5bf9\u539f\u59cb\u8bfb\u6bb5\u3002\u7528 alevin-fry \u7684 USA \u6a21\u5f0f\u5b9a\u91cf\u65f6\uff0c\u540c\u4e00\u57fa\u56e0\u53ef\u4ee5\u6709\u4e09\u79cd\u526a\u63a5\u72b6\u6001\u7684\u8ba1\u6570\u3002\u8bfb\u5165\u51fd\u6570\u6309\u4e0b\u6e38\u7528\u9014\u7ec4\u5408\u5b83\u4eec\uff0c\u4e24\u4e2a\u77e9\u9635\u90fd\u53eb\u4e3b\u8868\u8fbe\u77e9\u9635\uff0c\u91cc\u9762\u88c5\u7684\u5374\u53ef\u4ee5\u662f\u4e0d\u540c\u7684\u5206\u5b50\u96c6\u5408\u3002<\/p>\n

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\u8bbe\u4e00\u4e2a\u7ec6\u80de\u4e2d\u7684\u67d0\u4e2a\u57fa\u56e0\u6709\u56db\u4e2a\u5df2\u526a\u63a5\u5206\u5b50\u3001\u4e09\u4e2a\u672a\u526a\u63a5\u5206\u5b50\u3001\u4e24\u4e2a\u72b6\u6001\u6a21\u7cca\u7684\u5206\u5b50\u3002\u4e0b\u9762\u7684\u8ba1\u7b97\u4e13\u4e3a\u8bfb\u61c2\u6587\u4ef6\u800c\u8bbe\uff0c\u6570\u5b57\u4e0d\u4ee3\u8868\u54ea\u4e2a\u7ec4\u7ec7\u7684\u5178\u578b\u526a\u63a5\u6bd4\u4f8b\u3002\u5148\u5728\u7eb8\u4e0a\u628a\u4e09\u7c7b\u5355\u72ec\u5199\u6e05\u695a\uff0c\u518d\u51b3\u5b9a\u4e0a\u6e38\u8ba1\u6570\u4fdd\u6301\u4e0d\u52a8\u65f6\uff0c\u600e\u6837\u7ec4\u5408\u6210\u4f60\u7684\u89c2\u5bdf\u91cf\u3002<\/p>\n

\n\n\n\n\n\n\n\n
\u51c6\u5907\u56de\u7b54\u7684\u95ee\u9898<\/th>\n\u4e3b\u77e9\u9635\u91c7\u7528\u7684\u8ba1\u6570<\/th>\n\u8fd9\u4e2a\u57fa\u56e0\u5f97\u5230\u4ec0\u4e48<\/th>\n<\/tr>\n<\/thead>\n
\u6309 pyroe \u7684 scRNA \u9884\u8bbe\u67e5\u770b\u5e38\u89c4\u8868\u8fbe<\/td>\n\u5df2\u526a\u63a5\u52a0\u6a21\u7cca<\/td>\n4 + 2 = 6<\/td>\n<\/tr>\n
\u6309\u5176 snRNA \u9884\u8bbe\u7eb3\u5165\u4e09\u7c7b\u8bc1\u636e<\/td>\n\u672a\u526a\u63a5\u3001\u5df2\u526a\u63a5\u3001\u6a21\u7cca\u76f8\u52a0<\/td>\n3 + 4 + 2 = 9<\/td>\n<\/tr>\n
\u5355\u72ec\u68c0\u67e5\u4e24\u79cd\u660e\u786e\u72b6\u6001<\/td>\n\u5206\u5f00\u53d6\u5df2\u526a\u63a5\u4e0e\u672a\u526a\u63a5<\/td>\n4 \u548c 3\uff0c\u53e6\u8bb0 2 \u4e2a\u6a21\u7cca<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
\"\u540c\u4e00\u4e2a\u57fa\u56e0\uff0c\u4e3a\u4ec0\u4e48\u662f
\u6559\u5b66\u8ba1\u6570\uff5c\u5df2\u526a\u63a5 4 \u4e2a\uff0c\u672a\u526a\u63a5 3 \u4e2a\uff0c\u6a21\u7cca 2 \u4e2a\u3002<\/figcaption><\/figure>\n

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\u4ece\u5b9e\u9645\u76ee\u5f55\u4e2d\u62bd\u4e00\u6761\u8bb0\u5f55\u6838\u8d26<\/h2>\n

\u4e0b\u9762\u7528 pyroe \u540c\u4e00\u7248\u7684\u4e24\u79cd\u9884\u8bbe\u8bfb\u5165\u4e00\u4e2a USA \u5b9a\u91cf\u7ed3\u679c\u3002\u8def\u5f84\u5e94\u6307\u5411 alevin-fry quant<\/code> \u7684\u8f93\u51fa\u76ee\u5f55\u3002\u4f8b\u5b50\u5148\u5bf9\u9f50\u4e24\u4e2a\u5bf9\u8c61\u7684\u7ec6\u80de\u548c\u57fa\u56e0\u540d\u79f0\uff0c\u518d\u67e5\u540c\u4e00\u4e2a\u5750\u6807\u3002\u5982\u679c\u60f3\u67e5\u770b\u4e00\u4e2a\u7279\u5b9a\u57fa\u56e0\uff0c\u53ef\u628a\u4e0b\u6807\u6539\u6210\u8be5\u57fa\u56e0\u7684\u552f\u4e00\u7f16\u53f7\uff0c\u5e76\u9009\u62e9\u4e00\u4e2a\u786e\u5b9e\u6709\u672a\u526a\u63a5\u8ba1\u6570\u7684\u7ec6\u80de\u3002\u82e5\u9009\u4e2d\u7684\u5750\u6807\u521a\u597d\u5168\u4e3a\u96f6\uff0c\u8fd9\u4e2a\u4f8b\u5b50\u9a8c\u8bc1\u4e0d\u4e86\u4e24\u79cd\u5b9a\u4e49\u4e4b\u95f4\u7684\u5dee\u522b\u3002<\/p>\n

from pyroe import load_fry\r\n\r\none = load_fry("quant_dir", output_format="scRNA")\r\ntwo = load_fry("quant_dir", output_format="snRNA")\r\nassert one.obs_names.equals(two.obs_names)\r\nassert one.var_names.equals(two.var_names)\r\ni, j = 0, 0\r\nprint(one.X[i, j], one.layers["unspliced"][i, j], two.X[i, j])\r\n<\/code><\/pre>\n
\u6309\u8fd9\u91cc\u6240\u7528\u9884\u8bbe\uff0c\u6253\u5370\u51fa\u6765\u7684\u7b2c\u4e00\u4e2a\u503c\u4e0e\u7b2c\u4e8c\u4e2a\u503c\u76f8\u52a0\uff0c\u5e94\u7b49\u4e8e\u7b2c\u4e09\u4e2a\u503c\u3002\u82e5\u7b49\u5f0f\u5931\u8d25\uff0c\u5148\u68c0\u67e5\u76ee\u5f55\u662f\u5426\u786e\u5b9e\u6765\u81ea USA \u6a21\u5f0f\uff0c\u7136\u540e\u786e\u8ba4\u6709\u6ca1\u6709\u5728\u5176\u4e2d\u4e00\u4efd\u5bf9\u8c61\u4e0a\u63d0\u524d\u505a\u5f52\u4e00\u5316\u3001\u53d6\u5bf9\u6570\u6216\u8fc7\u6ee4\u57fa\u56e0\u3002\u539f\u59cb\u5206\u5b50\u8ba1\u6570\u53ef\u4ee5\u76f8\u52a0\uff0c\u5f52\u4e00\u5316\u6216\u7ecf\u8fc7\u975e\u7ebf\u6027\u53d8\u6362\u540e\u7684\u4e24\u4e2a\u6570\u4e00\u822c\u4e0d\u80fd\u8fd9\u6837\u6838\u8d26\u3002\u82e5\u9700\u8981\u4fdd\u7559\u4e09\u4e2a\u62bd\u5c49\u4f9b\u4ed6\u4eba\u4f7f\u7528\uff0cpyroe \u8fd8\u5141\u8bb8\u901a\u8fc7\u5b57\u5178\u6307\u5b9a\u4e3b\u77e9\u9635\u548c\u9644\u52a0\u5c42\u5206\u522b\u53d6\u54ea\u51e0\u7c7b\uff0c\u8bfb\u5165\u540e\u5e94\u968f\u624b\u67e5\u770b\u771f\u5b9e\u5b58\u5728\u7684\u5c42\u540d\u3002pyroe \u5bf9\u9884\u8bbe\u3001\u8ba1\u6570\u5c42\u53ca\u81ea\u5b9a\u4e49\u5b57\u5178\u7684\u9010\u9879\u8bf4\u660e<\/a><\/p>\n
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