Utilizing machine learning and bioinformatics analysis to identify drought stress responsive genes in wheat (Triticum aestivum L.)
One of the main abiotic stressors affecting agricultural output is drought stress, which has a substantial impact on wheat growth, development, and yield. This study aims to uncover transcriptomic changes in wheat leaves under drought stress using machine learning and bioinformatics approaches, ther...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Sustainable Food Systems |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fsufs.2025.1612009/full |
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