Back to Search
Start Over
Current progress and open challenges for applying deep learning across the biosciences
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
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.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.14e0a06b00c7444c9c738a631681c526
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-022-29268-7