Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks筆記
利用級聯卷積和遞歸神經網絡預測蛋白質二級結構 Abstract 蛋白質二級結構預測是生物信息學中的一個重要問題。受近期深度神經網絡成功的啓發，在本文中，我們提出了一種端到端深度網絡，可以從集成的局部和全局上下文特徵預測蛋白質二級結構。我們的深層架構利用具有不同內核大小的卷積神經網絡來提取多尺度的本地上下文特徵。此外，考慮到氨基酸序列中存在的長程依賴性，我們建立了一個雙向神經網絡，由
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