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Nat Commun|在生物科学领域应用深度学习的当前进展和开放挑战
2022-04-23 17:52:00 【智源社区】
2022年4月1日,休斯顿莱斯大学计算机科学系的Todd J. Treangen等人在Nat Commun杂志发表文章,讨论了深度学习在五个生物科学领域的最新进展、局限性和未来前景。

论文链接:
https://www.nature.com/articles/s41467-022-29268-7
本文讨论了深度学习(DL) 在五个广泛领域的最新进展、局限性和未来前景:蛋白质结构预测、蛋白质功能预测、基因组工程、系统生物学和数据集成、系统发育推断。讨论了每个应用领域并分析了DL方法的主要瓶颈,例如训练数据、问题范围以及在新环境中利用现有DL架构的能力。最后总结了DL在整个生物科学领域面临的特定问题和开放挑战。
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本文为[智源社区]所创,转载请带上原文链接,感谢
https://hub.baai.ac.cn/views/16621
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