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量子扩张卷积循环网络 (QDCRNet)在基因表达数据病毒 ...
编辑推荐: 本文推荐:研究者提出量子扩张卷积循环网络 (QDCRNet),整合量子扩张卷积神经网络 (QDCNN)和深度循环神经网络 (DRNN),通过Box-Cox变换和高尔距离 (Gower distance)特征选择,实现病毒检测准确率90.8%。该模型突破传统方法在低表达病毒识别和变异株适应性上的局限,为基因表达数据驱动的精准 ...
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