WheatRPred: deep learning framework for predicting disease resistance protein in wheat and its wild relatives
Wheat, a globally vital staple crop, is under threats from a variety of pathogens, highlighting the urgent need for efficient identification of disease resistance (R) genes. Traditional experimental methods are slow and resource-intensive. To address this, we present WheatRPred, a web-based deep lea...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2026-06-01
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| Serie: | Journal of Genetic Engineering and Biotechnology |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S1687157X26000442 |
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