Nature Communications (Apr 2022)
Current progress and open challenges for applying deep learning across the biosciences
- 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
Affiliations
- Nicolae Sapoval
- Department of Computer Science, Rice University
- Amirali Aghazadeh
- Department of Electrical Engineering and Computer Sciences, University of California Berkeley
- Michael G. Nute
- Department of Computer Science, Rice University
- Dinler A. Antunes
- Department of Biology and Biochemistry, University of Houston
- Advait Balaji
- Department of Computer Science, Rice University
- Richard Baraniuk
- Department of Electrical and Computer Engineering, Rice University
- C. J. Barberan
- Department of Electrical and Computer Engineering, Rice University
- Ruth Dannenfelser
- Department of Computer Science, Rice University
- Chen Dun
- Department of Computer Science, Rice University
- Mohammadamin Edrisi
- Department of Computer Science, Rice University
- R. A. Leo Elworth
- Department of Computer Science, Rice University
- Bryce Kille
- Department of Computer Science, Rice University
- Anastasios Kyrillidis
- Department of Computer Science, Rice University
- Luay Nakhleh
- Department of Computer Science, Rice University
- Cameron R. Wolfe
- Department of Computer Science, Rice University
- Zhi Yan
- Department of Computer Science, Rice University
- Vicky Yao
- Department of Computer Science, Rice University
- Todd J. Treangen
- Department of Computer Science, Rice University
- DOI
- https://doi.org/10.1038/s41467-022-29268-7
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 12
Abstract
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.
