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Prediction of RNA-protein interactions by combining deep convolutional neural network with feature selection ensemble method

机译：用特征选择合并方法组合深卷积神经网络来预测RNA蛋白质相互作用

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Lei Wang; Xin Yan; Meng-Lin Liu; Ke-Jian Song; Xiao-Fei Sun; Wen-Wen Pan;
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1. Prediction of RNA-protein interactions by combining deep convolutional neural network with feature selection ensemble method [J] . Wang Lei, Yan Xin, Liu Meng-Lin, Journal of Theoretical Biology . 2019,第期

机译：用特征选择合并方法组合深卷积神经网络的RNA-蛋白质相互作用
2. Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks [J] . Xiaoyong Pan, Peter Rijnbeek, Junchi Yan, BMC Genomics . 2018,第1期

机译：使用深卷积和经常性神经网络预测RNA蛋白序列和结构结合偏好
3. Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks [J] . Pan Xiaoyong, Shen Hong-Bin Bioinformatics . 2018,第20期

机译：通过组合局部和全球深度卷积神经网络预测RNA蛋白结合位点和基序
4. Feature Selection and Ensemble Entropy Attribute Weighted Deep Neural Network (EEAw-DNN) for Chronic Kidney Disease (CKD) Prediction [C] . S. Belina V. J. Sara, K. Kalaiselvi International Conference on Computational Vision and Bio-Inspired Computing . 2020

机译：特征选择和集合熵属性加权深神经网络（EEAW-DNN）用于慢性肾病（CKD）预测
5. Neural Rule Ensembles: Encoding Feature Interactions Into Neural Networks [D] . Dawer, Gitesh. 2018

机译：神经规则集成：将特征交互编码到神经网络中
6. Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network [O] . Hongmei Li, Jinying Huang, Shuwei Ji 2019

机译：基于集成卷积神经网络和深度神经网络的特征融合方法进行轴承故障诊断
7. Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks [O] . Xiaoyong Pan, Peter Rijnbeek, Junchi Yan, 2018

机译：使用深卷积和经常性神经网络预测RNA蛋白序列和结构结合偏好

Prediction of RNA-protein interactions by combining deep convolutional neural network with feature selection ensemble method

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