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Protein Secondary Structure Prediction Based on Generative Confrontation and Convolutional Neural Network

机译：基于生成对抗和卷积神经网络的蛋白质二次结构预测

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Yawu Zhao; Hualan Zhang; Yihui Liu;
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1. Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks [J] . Guo Yanbu, Wang Bingyi, Li Weihua, Journal of Bioinformatics and Computational Biology . 2018,第5期

机译：通过与二维卷积神经网络集成的经常性神经网络改善了蛋白质二级结构预测
2. Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks [J] . Hanson Jack, Paliwal Kuldip, Litfin Thomas, Bioinformatics . 2019,第14期

机译：通过使用预测的联系地图和经常性和残余卷积神经网络的集合来改善蛋白质二级结构，骨干角，溶剂可访问性和接触号的预测
3. Deeper Profiles and Cascaded Recurrent and Convolutional Neural Networks for state-of-the-art Protein Secondary Structure Prediction [J] . Mirko Torrisi, Manaz Kaleel, Gianluca Pollastri Scientific reports. . 2019,第1期

机译：更深的曲线和级联反复化和卷积神经网络，用于最先进的蛋白质二级结构预测
4. Protein secondary structure prediction based on two dimensional deep convolutional neural networks [C] . Yihui Liu, Jinyong Cheng, Yuming Ma, IEEE International Conference on Computer and Communications . 2017

机译：基于二维深度卷积神经网络的蛋白质二级结构预测
5. The non-invariance of pattern recognition measures using neural networks as applied to the protein secondary structure prediction problem. [D] . Alexander, Ayanna M. 2008

机译：使用神经网络的模式识别方法的不变性应用于蛋白质二级结构预测问题。
6. Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure prediction [O] . Maxim Shapovalov, Roland L. Dunbrack Jr., Slobodan Vucetic 2020

机译：蛋白质二级结构预测训练训练和测试卷积神经网络的多方面分析
7. Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction [O] . Zhou, Jian, Troyanskaya, Olga G. 2014

机译：深度监督和卷积生成随机网络蛋白质二级结构预测

Protein Secondary Structure Prediction Based on Generative Confrontation and Convolutional Neural Network

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