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诺华重磅:深度学习破解转录组学密码,重塑癌症研究格局
【导读】细胞系和源自患者的异种移植物对癌症研究至关重要;然而,从这些模型中得出的结果往往缺乏临床转化性,因为它们不能完全再现复杂的癌症生物学特性。在这项研究中,团队开发了MOBER(多源批量效应去除法),在去除混杂因素信息的同时提取有生物意义的嵌入。
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