MIT 与哈佛联合推出 Lyra：一种高效的生物序列建模新方法
在生物序列建模领域，深度学习技术的进步令人瞩目，但高昂的计算需求和对大数据集的依赖让许多研究者感到困扰。最近，麻省理工学院（MIT）、哈佛大学和卡内基梅隆大学的研究团队推出了一种名为 Lyra 的新型生物序列建模方法。这种方法不仅参数显著减少到仅有传统模型的12万分之一，而且能够在短短两小时内使用两块 GPU 进行训练，极大地提升了模型的效率。Lyra 的设计灵感来源于生物学中的上位效应（即序列内突变间的相互作用），它通过一个次二次架构来有效理解生物序列与其
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