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机译:Rehic:通过剩余卷积网络增强Hi-C数据分辨率
Yunnan Univ Natl Pilot Sch Software Kunming 650000 Yunnan Peoples R China;
Yunnan Normal Univ Sch Informat Kunming 650000 Yunnan Peoples R China;
Yunnan Univ State Key Lab Conservat &
Utilizat Bioresource Kunming 650000 Yunnan Peoples R China;
Yunnan Univ Natl Pilot Sch Software Kunming 650000 Yunnan Peoples R China;
Yunnan Univ Natl Pilot Sch Software Kunming 650000 Yunnan Peoples R China;
Yunnan Univ Natl Pilot Sch Software Kunming 650000 Yunnan Peoples R China;
Yunnan Univ Natl Pilot Sch Software Kunming 650000 Yunnan Peoples R China;
Yunnan Univ Natl Pilot Sch Software Kunming 650000 Yunnan Peoples R China;
High-throughput chromosome conformation capture (Hi-C); super-resolution; deep learning; convolutional network;
机译:通过深度卷积神经网络HiCPlus增强Hi-C数据分辨率
机译:Deephic:一种用于增强Hi-C数据分辨率的生成对抗网络
机译:ES-ARCNN:通过使用数据增强和残留的卷积神经网络预测增强器强度
机译:双卷积增强残差网络,用于遥感图像的单次超分辨率
机译:通过剩余卷积神经网络轻场压缩和操纵
机译:HiCNN2:使用卷积神经网络集成来提高Hi-C数据的分辨率
机译:Deephic:一种用于增强Hi-C数据分辨率的生成对抗网络
机译:用于时态数据目标检测的多帧卷积神经网络。