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Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks

机译：深度双向短期内记忆经常性神经网络改善蛋白质障碍预测

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Jack Hanson; Yuedong Yang; Kuldip Paliwal; Yaoqi Zhou;
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1. Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility [J] . Bioinformatics . 2017,第18期

机译：通过长短短期内存双向复发性神经网络捕获非局部相互作用，用于改善蛋白质二级结构，骨干角，接触点和溶剂可接近性的预测
2. Relapse and Mortality Prediction of Acute Myeloid Leukemia Patients Using Deep Bidirectional Long Short-Term Memory-Deep Neural Network Architecture [J] . Ko Bor-Sheng, Wang Yu-Fen, Lu Chih-Chuan, Blood: The Journal of the American Society of Hematology . 2018,第NovaelaTreatmentAppr期

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3. Multi-speaker speech synthesis and speaker adaptation based on deep bidirectional long short-term memory recurrent neural network [J] . Yi ZHAO, Nobuaki MINEMATSU, Daisuke SAITO 電子情報通信学会技術研究報告. 音声. Speech . 2015,第346期

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4. Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to-Phoneme Conversion utilizing Complex Many-to-Many Alignments [C] . Amr El-Desoky Mousa, Bjorn Schuller Annual Conference of the International Speech Communication Association . 2016

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5. Non-linguistic Vocalization Recognition Based on Convolutional, Long Short-term Memory, Deep Neural Networks [D] . Qiu, Liang. 2018

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Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks

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