{"id":114660,"date":"2026-10-09T21:09:17","date_gmt":"2026-10-09T13:09:17","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/114660.html"},"modified":"2026-10-09T21:09:17","modified_gmt":"2026-10-09T13:09:17","slug":"%e3%80%90%e6%9c%9f%e5%88%8a%e6%8a%95%e7%a8%bf%e6%8c%87%e5%8d%97%e3%80%91frontiers-in-genetics%ef%bc%9a%e8%82%bf%e7%98%a4%e5%a4%9a%e7%bb%84%e5%ad%a6%e4%bb%8e%e8%ae%a1%e7%ae%97%e5%8f%91%e7%8e%b0","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/114660.html","title":{"rendered":"\u3010\u671f\u520a\u6295\u7a3f\u6307\u5357\u3011Frontiers in Genetics\uff1a\u80bf\u7624\u591a\u7ec4\u5b66\u4ece\u8ba1\u7b97\u53d1\u73b0\u8d70\u5411\u9a8c\u8bc1"},"content":{"rendered":"<p>\u591a\u7ec4\u5b66\u3001\u5355\u7ec6\u80de\u548c\u8ba1\u7b97\u6a21\u578b&#xff0c;\u6b63\u5728\u628a\u80bf\u7624\u9057\u4f20\u5b66\u95ee\u9898\u62c6\u89e3\u5230\u4e0d\u540c\u5c42\u6b21\u3002\u672c\u671f\u4ece\u516c\u5f00\u8bba\u6587\u51fa\u53d1&#xff0c;\u770b\u770b Frontiers in Genetics \u5982\u4f55\u5448\u73b0\u80bf\u7624\u8ba1\u7b97\u53d1\u73b0\u3001\u961f\u5217\u9a8c\u8bc1\u4e0e\u529f\u80fd\u5b9e\u9a8c\u4e4b\u95f4\u7684\u4e0d\u540c\u7ec4\u5408\u3002<\/p>\n<h3>\u5f80\u671f\u5206\u4eab<\/h3>\n<p>xxx<\/p>\n<p>xxx<\/p>\n<p>::: block-1<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261009130908-6ac8e7740d942.png\" alt=\"\" \/><\/p>\n<p>:::<\/p>\n<h3>\u671f\u520a\u4ecb\u7ecd<\/h3>\n<table>\n<tr>\u9879\u76ee\u671f\u520a\u8d44\u6599<\/tr>\n<tbody>\n<tr>\n<td>\u671f\u520a<\/td>\n<td>Frontiers in Genetics<\/td>\n<\/tr>\n<tr>\n<td>\u51fa\u7248\u793e<\/td>\n<td>Frontiers Media SA<\/td>\n<\/tr>\n<tr>\n<td>eISSN<\/td>\n<td>1664-8021<\/td>\n<\/tr>\n<tr>\n<td>\u5b98\u7f51\u663e\u793a\u5f71\u54cd\u6307\u6807<\/td>\n<td>Impact Factor 3.0&#xff1b;CiteScore 6.9<\/td>\n<\/tr>\n<tr>\n<td>\u6536\u5f55\u60c5\u51b5<\/td>\n<td>SCIE&#xff1b;PubMed\u3001PMC\u3001Scopus\u3001DOAJ \u7b49<\/td>\n<\/tr>\n<tr>\n<td>\u51fa\u7248\u6a21\u5f0f<\/td>\n<td>\u5168\u5f00\u653e\u83b7\u53d6&#xff1b;CC BY<\/td>\n<\/tr>\n<tr>\n<td>\u76f8\u5173\u680f\u76ee<\/td>\n<td>Cancer Genetics and Oncogenomics&#xff1b;Computational Genomics<\/td>\n<\/tr>\n<tr>\n<td>Article Types<\/td>\n<td>Original Research\u3001Methods\u3001Technology and Code\u3001Review\u3001Brief Research Report \u7b49<\/td>\n<\/tr>\n<tr>\n<td>\u5b98\u65b9\u8303\u56f4<\/td>\n<td>\u9057\u4f20\u4e0e\u57fa\u56e0\u7ec4\u7814\u7a76\u3001\u57fa\u56e0\u7ec4\u6570\u636e\u6280\u672f\u4e0e\u5206\u6790\u3001\u5206\u5b50\u548c\u7ec6\u80de\u9057\u4f20\u5b66&#xff0c;\u4ee5\u53ca\u76f8\u5173\u65b9\u6cd5\u5b66\u8fdb\u5c55\u4e0e\u5e94\u7528<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>::: block-1<\/p>\n<p>\u80bf\u7624\u9057\u4f20\u4e0e\u591a\u7ec4\u5b66\u9a8c\u8bc1 \u00d7 \u8ba1\u7b97\u57fa\u56e0\u7ec4\u4e0e\u751f\u4fe1\u65b9\u6cd5<\/p>\n<p>\u672c\u671f\u805a\u7126\u80bf\u7624\u9057\u4f20\u80cc\u666f\u3001\u5206\u5b50\u5206\u578b\u3001\u80bf\u7624\u5f02\u8d28\u6027\u53ca\u5fae\u73af\u5883\u7b49\u95ee\u9898&#xff0c;\u89c2\u5bdf\u5355\u7ec6\u80de\/\u7a7a\u95f4\u7ec4\u5b66\u3001\u8de8\u961f\u5217\u6574\u5408\u3001\u673a\u5668\u5b66\u4e60\u6216\u7f51\u7edc\u65b9\u6cd5\u5982\u4f55\u5f62\u6210\u53ef\u89e3\u91ca\u7684\u751f\u7269\u5b66\u7ebf\u7d22&#xff0c;\u5e76\u8fdb\u4e00\u6b65\u901a\u8fc7\u72ec\u7acb\u60a3\u8005\u961f\u5217\u3001\u7ec4\u7ec7\u68c0\u6d4b\u6216\u7ec6\u80de\u5b9e\u9a8c\u8865\u5f3a\u3002\u671f\u520a\u5b98\u65b9\u8303\u56f4\u660e\u786e\u6307\u51fa&#xff1a;\u4ec5\u7528\u516c\u5f00\u6570\u636e\u8fdb\u884c\u751f\u4fe1\u5206\u6790\u3001\u7f3a\u5c11\u72ec\u7acb\u4e34\u5e8a\/\u60a3\u8005\u961f\u5217\u6216\u4f53\u5185\u5916\u9a8c\u8bc1&#xff0c;\u4e14\u65b9\u6cd5\u5b66\u521b\u65b0\u4e0d\u8db3\u7684\u7a3f\u4ef6\u901a\u5e38\u4e0d\u9002\u5408\u3002\u56e0\u6b64&#xff0c;\u201c\u7eaf\u751f\u4fe1\u201d\u5e76\u975e\u53ea\u8981\u5206\u6790\u91cf\u5927\u5c31\u8db3\u591f&#xff0c;\u9700\u7279\u522b\u91cd\u89c6\u65b9\u6cd5\u521b\u65b0\u3001\u5916\u90e8\u9a8c\u8bc1\u548c\u9057\u4f20\u5b66\u95ee\u9898\u672c\u8eab\u3002<\/p>\n<p>:::<\/p>\n<p>\u672c\u671f\u4ee5 Cancer Genetics and Oncogenomics \u4e0e Computational Genomics \u4e24\u4e2a\u680f\u76ee\u4e3a\u5165\u53e3&#xff0c;\u68c0\u7d22\u65f6\u95f4\u4e3a 2025\u5e744\u67084\u65e5\u81f32026\u5e7410\u67084\u65e5\u3002\u4ece\u516c\u5f00\u539f\u521b\u7814\u7a76\u4e2d\u9009\u53d65\u7bc7\u65b9\u5411\u548c\u8bc1\u636e\u7ed3\u6784\u4e0d\u540c\u7684\u6837\u672c&#xff0c;\u8986\u76d6\u5355\u7ec6\u80de\u4e0e\u7a7a\u95f4\u7ec4\u5b66\u3001\u6cdb\u764c\u5206\u6790\u3001\u8ba1\u7b97\u6a21\u578b\u53ca\u529f\u80fd\u9a8c\u8bc1\u3002\u5b83\u4eec\u7528\u4e8e\u5c55\u793a\u7814\u7a76\u7ed3\u6784&#xff0c;\u4e0d\u4ee3\u8868\u671f\u520a\u5b98\u65b9\u6536\u7a3f\u5206\u7c7b\u6216\u5f55\u7528\u504f\u597d\u3002<\/p>\n<h3>\u4ee3\u8868\u8bba\u6587<\/h3>\n<p>::: block-1<\/p>\n<p>01&#xff5c;\u9ed1\u8272\u7d20\u7624\u5355\u7ec6\u80de\u56fe\u8c31&#xff1a;\u7ec6\u80de\u72b6\u6001\u3001\u901a\u8baf\u4e0e\u4e34\u5e8a\u7ec4\u7ec7\u9a8c\u8bc1<\/p>\n<p>:::<\/p>\n<p>\u5bf970,760\u4e2a\u7ec6\u80de\u300111\u4efd\u9ed1\u8272\u7d20\u7624\u6837\u672c\u8fdb\u884c\u5355\u7ec6\u80de\u5206\u6790&#xff0c;\u7ed3\u5408\u7ec6\u80de\u901a\u8baf\u3001\u62df\u65f6\u5e8f\u548c\u673a\u5668\u5b66\u4e60\u6784\u5efa15\u57fa\u56e0\u9884\u540e\u7279\u5f81&#xff0c;\u5e76\u57287\u4f8b\u4e34\u5e8a\u7ec4\u7ec7\u4e2d\u4ee5\u514d\u75ab\u8367\u5149\u68c0\u6d4bEIF5A\u3002\u5b83\u5c55\u793a\u4e86\u201c\u5355\u7ec6\u80de\u53d1\u73b0\u2014\u961f\u5217\u5efa\u6a21\u2014\u60a3\u8005\u7ec4\u7ec7\u9a8c\u8bc1\u201d\u7684\u8ba1\u7b97\u7814\u7a76\u7ed3\u6784&#xff1b;\u4f46\u7ec4\u7ec7\u67d3\u8272\u652f\u6301\u7684\u662f\u8868\u8fbe\u5dee\u5f02&#xff0c;\u4e0d\u80fd\u5355\u72ec\u8bc1\u660eEIF5A\u9a71\u52a8\u80bf\u7624\u8868\u578b\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261009130908-6ac8e774a660e.png\" alt=\"\u9ed1\u8272\u7d20\u7624\u5355\u7ec6\u80de\u5206\u6790\u4e0e\u7ec6\u80de\u4e9a\u7fa4\u793a\u610f\" \/><\/p>\n<ul>\n<li>\u8bba\u6587\u94fe\u63a5&#xff1a; 10.3389\/fgene.2026.1779213<\/li>\n<\/ul>\n<p>::: block-1<\/p>\n<p>02&#xff5c;\u4e09\u9634\u6027\u4e73\u817a\u764c&#xff1a;\u628a\u5355\u7ec6\u80de\u7f51\u7edc\u653e\u56de\u7ec4\u7ec7\u7a7a\u95f4<\/p>\n<p>:::<\/p>\n<p>\u6574\u5408\u5355\u7ec6\u80deRNA\u6d4b\u5e8f\u4e0e\u7a7a\u95f4\u8f6c\u5f55\u7ec4&#xff0c;\u7ed8\u5236\u4e09\u9634\u6027\u4e73\u817a\u764c\u7ec6\u80de\u56fe\u8c31&#xff0c;\u8fdb\u4e00\u6b65\u6784\u5efa\u8f6c\u5f55\u56e0\u5b50\u8c03\u63a7\u7f51\u7edc\u5e76\u5206\u6790\u53d7\u4f53\u2014\u914d\u4f53\u4fe1\u53f7&#xff1b;\u7814\u7a76\u8fd8\u7528\u514d\u75ab\u7ec4\u5316\u5bf9\u5019\u9009\u8f6c\u5f55\u56e0\u5b50\u8fdb\u884c\u9a8c\u8bc1\u3002\u5b83\u7684\u91cd\u70b9\u4e0d\u662f\u5355\u7eaf\u589e\u52a0\u7ec4\u5b66\u5c42\u6570&#xff0c;\u800c\u662f\u8ba9\u7ec6\u80de\u7c7b\u578b\u3001\u7a7a\u95f4\u4f4d\u7f6e\u548c\u8c03\u63a7\u7ebf\u7d22\u76f8\u4e92\u5bf9\u5e94&#xff1b;\u514d\u75ab\u7ec4\u5316\u652f\u6301\u5019\u9009\u5206\u5b50\u7684\u7ec4\u7ec7\u8868\u8fbe&#xff0c;\u4f46\u4ecd\u4e0d\u7b49\u540c\u4e8e\u529f\u80fd\u56e0\u679c\u9a8c\u8bc1\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261009130910-6ac8e776c06f7.png\" alt=\"\u4e09\u9634\u6027\u4e73\u817a\u764c\u5355\u7ec6\u80de\u4e0e\u7a7a\u95f4\u591a\u7ec4\u5b66\u6574\u5408\u56fe\" \/><\/p>\n<ul>\n<li>\u8bba\u6587\u94fe\u63a5&#xff1a; 10.3389\/fgene.2025.1614254<\/li>\n<\/ul>\n<p>::: block-1<\/p>\n<p>03&#xff5c;HCCS&#xff1a;\u6cdb\u764c\u7ebf\u7d22\u843d\u5230\u4e73\u817a\u764c\u7ec6\u80de\u529f\u80fd<\/p>\n<p>:::<\/p>\n<p>\u5148\u6574\u540833\u79cd\u764c\u75c7\u7684\u591a\u7ec4\u5b66\u6570\u636e\u5206\u6790HCCS\u8868\u8fbe\u3001\u57fa\u56e0\u7ec4\u6539\u53d8\u548c\u514d\u75ab\u5173\u8054&#xff0c;\u518d\u5728MDA-MB-231\u7ec6\u80de\u4e2d\u6572\u4f4eHCCS&#xff0c;\u68c0\u6d4b\u589e\u6b96\u3001\u514b\u9686\u5f62\u6210\u548c\u7ec6\u80de\u5468\u671f&#xff1b;\u9884\u540e\u6a21\u578b\u8fd8\u5728\u72ec\u7acb\u4e73\u817a\u764c\u961f\u5217\u4e2d\u8bc4\u4f30\u3002\u76f8\u6bd4\u53ea\u505c\u7559\u5728\u6cdb\u764c\u8868\u8fbe\u4e0e\u9884\u540e\u76f8\u5173&#xff0c;\u8fd9\u4e00\u7ed3\u6784\u589e\u52a0\u4e86\u7ec6\u80de\u6270\u52a8&#xff0c;\u4f46\u5176\u4f53\u5916\u9a8c\u8bc1\u4ecd\u4e0d\u80fd\u76f4\u63a5\u63a8\u51fa\u4e34\u5e8a\u6cbb\u7597\u9776\u70b9\u4ef7\u503c\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261009130912-6ac8e77831699.png\" alt=\"HCCS\u5728\u4e73\u817a\u764c\u4e2d\u7684\u591a\u7ec4\u5b66\u4e0e\u529f\u80fd\u9a8c\u8bc1\u7ed3\u679c\" \/><\/p>\n<ul>\n<li>\u8bba\u6587\u94fe\u63a5&#xff1a; 10.3389\/fgene.2026.1777429<\/li>\n<\/ul>\n<p>::: block-1<\/p>\n<p>04&#xff5c;\u809d\u764c\u5de8\u566c\u7ec6\u80de&#xff1a;\u5355\u7ec6\u80de\u5f02\u8d28\u6027\u4e0e\u7ec6\u80de\u4e92\u4f5c\u7ebf\u7d22<\/p>\n<p>:::<\/p>\n<p>\u7814\u7a76\u6574\u5408\u8868\u8fbe\u3001DNA\u7532\u57fa\u5316\u4e0e\u5355\u7ec6\u80de\u6570\u636e&#xff0c;\u8bc6\u522b\u809d\u764c\u5fae\u73af\u5883\u4e2d\u76846\u7c7b\u5de8\u566c\u7ec6\u80de\u4e9a\u7fa4&#xff0c;\u5e76\u4ee5CellChat\/CellPhoneDB\u63a8\u65adSPP1\u76f8\u5173\u7ec6\u80de\u901a\u8baf&#xff0c;\u518d\u7528HepG2\u548cHuh7\u7ec6\u80de\u7684qRT-PCR\u68c0\u6d4b\u5019\u9009\u57fa\u56e0\u8868\u8fbe\u3002\u9700\u8981\u533a\u5206\u7684\u662f&#xff0c;\u7ec6\u80de\u7cfbqRT-PCR\u53ea\u80fd\u8865\u5145\u8868\u8fbe\u5c42\u9762\u7684\u652f\u6301&#xff0c;\u4e0d\u80fd\u76f4\u63a5\u9a8c\u8bc1\u5de8\u566c\u7ec6\u80de\u4e0e\u80bf\u7624\u7ec6\u80de\u4e4b\u95f4\u7684\u901a\u8baf\u56e0\u679c\u5173\u7cfb&#xff1b;\u6b64\u5904\u66f4\u9002\u5408\u4f5c\u4e3a\u201c\u8ba1\u7b97\u53d1\u73b0\u4e4b\u540e&#xff0c;\u9a8c\u8bc1\u505a\u5230\u54ea\u4e00\u6b65\u201d\u7684\u4f8b\u5b50\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261009130913-6ac8e7797d7a8.png\" alt=\"\u809d\u764c\u5de8\u566c\u7ec6\u80de\u4e9a\u7fa4\u4e0eSPP1\u7ec6\u80de\u901a\u8baf\u5206\u6790\" \/><\/p>\n<ul>\n<li>\u8bba\u6587\u94fe\u63a5&#xff1a; 10.3389\/fgene.2026.1819908<\/li>\n<\/ul>\n<p>::: block-1<\/p>\n<p>05&#xff5c;TEX10&#xff1a;\u6cdb\u764c\u7b5b\u9009\u540e\u805a\u7126\u53e3\u8154\u9cde\u764c\u8868\u578b<\/p>\n<p>:::<\/p>\n<p>\u4eceTCGA\u4e0eGTEx\u6cdb\u764c\u5206\u6790\u5207\u5165&#xff0c;\u7ed3\u5408\u53e3\u8154\u9cde\u764c\u4e34\u5e8a\u7279\u5f81\u3001PPI\u4e0e\u901a\u8def\u5206\u6790&#xff0c;\u518d\u901a\u8fc7TEX10\u6572\u4f4e\u89c2\u5bdf\u7ec6\u80de\u6d3b\u529b\u3001\u8fc1\u79fb\u3001\u4fb5\u88ad\u3001\u51cb\u4ea1\u548c\u7ec6\u80de\u5468\u671f\u53d8\u5316&#xff0c;\u5e76\u68c0\u6d4bCyclin D1\u3001CDK4\u4e0ep21\u3002\u8fd9\u4e2a\u7ed3\u6784\u628a\u516c\u5171\u6570\u636e\u5173\u8054\u63a8\u8fdb\u5230\u7ec6\u80de\u529f\u80fd\u5c42\u9762&#xff1b;\u4e0d\u8fc7&#xff0c;\u8981\u8fdb\u4e00\u6b65\u5f62\u6210\u5b8c\u6574\u673a\u5236\u94fe&#xff0c;\u4ecd\u9700\u5bf9\u5173\u952e\u4e0b\u6e38\u5173\u7cfb\u8fdb\u884c\u6551\u63f4\u6216\u66f4\u76f4\u63a5\u7684\u56e0\u679c\u9a8c\u8bc1\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261009130914-6ac8e77ab0be8.png\" alt=\"TEX10\u6cdb\u764c\u5206\u6790\u4e0e\u53e3\u8154\u9cde\u764c\u9a8c\u8bc1\u56fe\" \/><\/p>\n<ul>\n<li>\u8bba\u6587\u94fe\u63a5&#xff1a; 10.3389\/fgene.2026.1750062<\/li>\n<\/ul>\n<h3>\u6295\u7a3f\u4e13\u9898\u5efa\u8bae<\/h3>\n<p>\u4ee5\u4e0b\u4e13\u9898\u5728\u672c\u6b21\u6838\u5bf9\u65f6\u663e\u793a\u4ecd\u5f00\u653e&#xff1b;\u622a\u6b62\u65e5\u671f\u53ca\u63a5\u6536\u72b6\u6001\u53ef\u80fd\u53d8\u5316&#xff0c;\u6295\u7a3f\u524d\u8bf7\u8fdb\u5165\u4e13\u9898\u5b98\u7f51\u590d\u6838\u3002<\/p>\n<p>::: block-1<\/p>\n<p>\u4e13\u9898\u5f81\u7a3f&#xff5c;\u80bf\u7624\u591a\u7ec4\u5b66\u4e0e\u5355\u7ec6\u80de\u6280\u672f<\/p>\n<p>Decoding Tumor Complexity: Broad Perspectives from Integrative Multi-Omics and Single-Cell Technologies in Cancer Genetics<\/p>\n<p>\u5f81\u7a3f\u8303\u56f4&#xff1a; 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2026\u5e7412\u670821\u65e5<\/p>\n<p>\u7eaf\u751f\u4fe1\u5339\u914d\u5ea6&#xff1a;\u53ef\u8003\u8651&#xff0c;\u5efa\u8bae\u5177\u5907\u6e05\u695a\u7684\u751f\u7269\u5b66\u95ee\u9898\u548c\u9a8c\u8bc1\u8bbe\u8ba1<\/p>\n<ul>\n<li>\u591a\u7ec4\u5b66\/\u5355\u7ec6\u80de\u6570\u636e\u6574\u5408\u63d0\u51fa\u53ef\u89e3\u91ca\u3001\u53ef\u68c0\u9a8c\u7684\u80bf\u7624\u9057\u4f20\u6216\u5fae\u73af\u5883\u5047\u8bbe&#xff1b;<\/li>\n<li>\u63d0\u4f9b\u72ec\u7acb\u961f\u5217\u3001\u4e0d\u540c\u5e73\u53f0\u6216\u4e0d\u540c\u4eba\u7fa4\u4e2d\u7684\u5916\u90e8\u9a8c\u8bc1&#xff1b;<\/li>\n<li>\u8ba1\u7b97\u6a21\u578b\u9700\u8bf4\u660e\u6cdb\u5316\u80fd\u529b\u3001\u7a33\u5065\u6027\u548c\u751f\u7269\u5b66\u610f\u4e49&#xff1b;<\/li>\n<li>\u4ec5\u505a\u5dee\u5f02\u57fa\u56e0\u3001\u5bcc\u96c6\u6216\u514d\u75ab\u8bc4\u5206\u5173\u8054&#xff0c;\u7f3a\u5c11\u65b0\u589e\u6d1e\u89c1\u4e0e\u9a8c\u8bc1&#xff0c;\u5339\u914d\u5ea6\u8f83\u5f31\u3002<\/li>\n<\/ul>\n<p>https:\/\/www.frontiersin.org\/research-topics\/73845\/decoding-tumor-complexity-broad-perspectives-from-integrative-multi-omics-and-single-cell-technologies-in-cancer-genetics<\/p>\n<p>:::<\/p>\n<p>::: block-1<\/p>\n<p>\u4e13\u9898\u5f81\u7a3f&#xff5c;\u8ba1\u7b97\u80bf\u7624\u5b66\u4e0e\u7cbe\u51c6\u533b\u5b66<\/p>\n<p>Computational Oncology for Precision Medicine: Biomarkers, Risk Models, and Translational Genomic Pipelines<\/p>\n<p>\u5f81\u7a3f\u8303\u56f4&#xff1a; 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2027\u5e746\u670811\u65e5<\/p>\n<p>\u7eaf\u751f\u4fe1\u5339\u914d\u5ea6&#xff1a;\u8f83\u9002\u5408\u65b9\u6cd5\u6216\u9a8c\u8bc1\u5145\u5206\u7684\u8ba1\u7b97\u7814\u7a76<\/p>\n<ul>\n<li>\u53ef\u8003\u8651\u65b0\u7b97\u6cd5\u3001\u53ef\u590d\u73b0\u6d41\u7a0b\u3001\u8de8\u961f\u5217\/\u8de8\u5e73\u53f0\u9a8c\u8bc1\u6216\u4e34\u5e8a\u57fa\u56e0\u7ec4\u98ce\u9669\u6a21\u578b&#xff1b;<\/li>\n<li>\u5e94\u62a5\u544a\u72ec\u7acb\u9a8c\u8bc1\u3001\u7a33\u5065\u6027\u3001\u6821\u51c6\u4e0e\u9002\u7528\u4eba\u7fa4\u8fb9\u754c&#xff0c;\u4e0d\u53ea\u7ed9\u8bad\u7ec3\u96c6AUC&#xff1b;<\/li>\n<li>\u7eaf\u516c\u5171\u6570\u636e\u7814\u7a76\u9700\u6709\u6e05\u6670\u65b9\u6cd5\u5b66\u6216\u4e34\u5e8a\u95ee\u9898\u589e\u91cf&#xff1b;<\/li>\n<li>\u5355\u4e00\u961f\u5217\u5e38\u89c4\u7279\u5f81\u7b5b\u9009\u3001\u7f3a\u4e4f\u5916\u90e8\u9a8c\u8bc1\u7684\u98ce\u9669\u6a21\u578b\u4e0d\u5360\u4f18\u52bf\u3002<\/li>\n<\/ul>\n<p>https:\/\/www.frontiersin.org\/research-topics\/81020\/computational-oncology-for-precision-medicine-biomarkers-risk-models-and-translational-genomic-pipelines<\/p>\n<p>:::<\/p>\n<p>::: block-1<\/p>\n<p>\u4e13\u9898\u5f81\u7a3f&#xff5c;AI\u4e0e\u591a\u7ec4\u5b66\u9884\u6d4b\u6cbb\u7597\u53cd\u5e94\u548c\u8010\u836f<\/p>\n<p>Machine Learning and AI-Driven Multi-Omics Biomarkers of Cancer Therapy Response and Resistance<\/p>\n<p>\u5f81\u7a3f\u8303\u56f4&#xff1a; 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2027\u5e748\u670810\u65e5<\/p>\n<p>\u7eaf\u751f\u4fe1\u5339\u914d\u5ea6&#xff1a;\u53ef\u8003\u8651&#xff0c;\u91cd\u70b9\u662f\u53ef\u89e3\u91ca\u6027\u4e0e\u4e25\u683c\u9a8c\u8bc1<\/p>\n<ul>\n<li>\u591a\u7ec4\u5b66AI\u6a21\u578b\u5e94\u6709\u72ec\u7acb\u961f\u5217\u6216\u7eb5\u5411\u6570\u636e\u9a8c\u8bc1&#xff0c;\u5e76\u907f\u514d\u8bad\u7ec3\/\u9a8c\u8bc1\u4fe1\u606f\u6cc4\u6f0f&#xff1b;<\/li>\n<li>\u53ef\u89e3\u91ca\u6a21\u578b\u3001\u6cbb\u7597\u53cd\u5e94\u673a\u5236\u7ebf\u7d22\u548c\u8de8\u4eba\u7fa4\u6cdb\u5316\u4e0e\u4e13\u9898\u65b9\u5411\u66f4\u8d34\u5408&#xff1b;<\/li>\n<li>\u9700\u4ea4\u4ee3\u4e34\u5e8a\u7ec8\u70b9\u3001\u6cbb\u7597\u80cc\u666f\u3001\u6837\u672c\u91cf\u53ca\u7f3a\u5931\u6570\u636e\u5904\u7406&#xff1b;<\/li>\n<li>\u53ea\u6709\u7b97\u6cd5\u6392\u540d\u6216\u5355\u961f\u5217\u7b7e\u540d\u3001\u6ca1\u6709\u5916\u90e8\u9a8c\u8bc1\u548c\u751f\u7269\u5b66\u89e3\u91ca&#xff0c;\u6295\u7a3f\u98ce\u9669\u8f83\u9ad8\u3002<\/li>\n<\/ul>\n<p>https:\/\/www.frontiersin.org\/research-topics\/83635\/machine-learning-and-ai-driven-multi-omics-biomarkers-of-cancer-therapy-response-and-resistance<\/p>\n<p>:::<\/p>\n<p>XXX<\/p>\n<p>\u6587\u4e2d\u5982\u6709\u9519\u6f0f&#xff0c;\u6b22\u8fce\u8054\u7cfb\u5c0f\u7f16\u52d8\u8bef<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u591a\u7ec4\u5b66\u3001\u5355\u7ec6\u80de\u548c\u8ba1\u7b97\u6a21\u578b&#xff0c;\u6b63\u5728\u628a\u80bf\u7624\u9057\u4f20\u5b66\u95ee\u9898\u62c6\u89e3\u5230\u4e0d\u540c\u5c42\u6b21\u3002\u672c\u671f\u4ece\u516c\u5f00\u8bba\u6587\u51fa\u53d1&#xff0c;\u770b\u770b Frontiers in Genetics \u5982\u4f55\u5448\u73b0\u80bf\u7624\u8ba1\u7b97\u53d1\u73b0\u3001\u961f\u5217\u9a8c\u8bc1\u4e0e\u529f\u80fd\u5b9e\u9a8c\u4e4b\u95f4\u7684\u4e0d\u540c\u7ec4\u5408\u3002 \u5f80\u671f\u5206\u4eab<br \/>\nxxx<br \/>\nxxx<br \/>\n::: block-1 :::<br \/>\n\u671f\u520a\u4ecb\u7ecd<br \/>\n\u9879\u76ee\u671f\u520a\u8d44\u6599\u671f\u520aFrontiers in Genetics\u51fa\u7248\u793eFrontiers Media SAeISSN1664-8021\u5b98\u7f51\u663e\u793a\u5f71\u54cd\u6307\u6807Impact Factor 3.0&amp;#x<\/p>\n","protected":false},"author":2,"featured_media":114654,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[2019],"topic":[],"class_list":["post-114660","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-2019"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ 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