On the prediction of DNA-binding proteins only from primary sequences: A deep learning approach論文筆記
Abstract DNA結合蛋白在真核和原核蛋白質組的選擇性剪接，RNA編輯，甲基化和許多其他生物學功能中發揮關鍵作用。從一級氨基酸序列預測這些蛋白質的功能正成爲基因組功能註釋的主要挑戰之一。傳統的預測方法通常致力於從序列中提取生理化學特徵，但忽略圖案之間的基序信息和位置信息。同時，訓練數據中的小規模數據量和大噪聲導致預測的準確性和可靠性較低。在本文中，我們提出了一種基於深度學習的方
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