Current progress and open challenges for applying deep learning across the biosciences

Current progress and open challenges for applying deep learning across the biosciences

Deep learning has enabled advances in understanding biology. In this review, the authors outline advances, and limitations of deep learning in five broad areas and the future challenges for the biosciences.

Bibliographic Details
Main Authors: Nicolae Sapoval, Amirali Aghazadeh, Michael G. Nute, Dinler A. Antunes, Advait Balaji, Richard Baraniuk, C. J. Barberan, Ruth Dannenfelser, Chen Dun, Mohammadamin Edrisi, R. A. Leo Elworth, Bryce Kille, Anastasios Kyrillidis, Luay Nakhleh, Cameron R. Wolfe, Zhi Yan, Vicky Yao, Todd J. Treangen
Format: Article
Language:English
Published: Nature Portfolio 2022-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-29268-7

Internet

https://doi.org/10.1038/s41467-022-29268-7

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