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机译:RNA-SEQ数据的疾病基因预测生成对抗性网络模型
Shanghai Jiao Tong Univ Sch Biomed Engn Shanghai 200030 Peoples R China;
Shanghai Jiao Tong Univ Sch Biomed Engn Shanghai 200030 Peoples R China;
Shanghai Jiao Tong Univ Sch Biomed Engn Shanghai 200030 Peoples R China;
Shanghai Jiao Tong Univ Sch Biomed Engn Shanghai 200030 Peoples R China;
Shanghai Jiao Tong Univ Sch Biomed Engn Shanghai 200030 Peoples R China|Shanghai Jiao Tong Univ Sch Med Shanghai Mental Hlth Ctr Shanghai Key Lab Psychot Disorders Shanghai 200030 Peoples R China;
Denoising auto-encoder; multilayer perceptron; generative adversarial network; RNA-seq data;
机译:使用生成的对抗网络在硅生成和增强单细胞RNA-SEQ数据中的现实
机译:生成对抗网络对RNA-SEQ分析的实际应用预测阿尔茨海默病的分子进展
机译:基于数据增强的模型和参数不确定性的系统级性能预测:可名称生成对策网络的作用(DGAN)
机译:单级SVM根据具有生成对抗网络的基于RNA-SEQ数据的增强识别参考基因的候选者
机译:基于遗传算法的卷积神经网络,用于RNA-SEQ数据的疾病类型预测中的几次射击学习
机译:生成对抗网络对RNA-SEQ分析的实际应用预测阿尔茨海默病的分子进展
机译:RNA-SEQ数据的疾病基因预测生成对抗性网络模型