MIT 與哈佛聯合推出 Lyra：一種高效的生物序列建模新方法
在生物序列建模領域，深度學習技術的進步令人矚目，但高昂的計算需求和對大數據集的依賴讓許多研究者感到困擾。最近，麻省理工學院（MIT）、哈佛大學和卡內基梅隆大學的研究團隊推出了一種名爲 Lyra 的新型生物序列建模方法。這種方法不僅參數顯著減少到僅有傳統模型的12萬分之一，而且能夠在短短兩小時內使用兩塊 GPU 進行訓練，極大地提升了模型的效率。Lyra 的設計靈感來源於生物學中的上位效應（即序列內突變間的相互作用），它通過一個次二次架構來有效理解生物序列與其
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