Foundation models in plant molecular biology: advances, challenges, and future directions
A foundation model (FM) is a neural network trained on large-scale data using unsupervised or self-supervised learning, capable of adapting to a wide range of downstream tasks. This review provides a comprehensive overview of FMs in plant molecular biology, emphasizing recent advances and future dir...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1611992/full |
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