Deep learning uncovers distinct behavior of rice network to pathogens response

Rice, apart from abiotic stress, is prone to attack from multiple pathogens. Predominantly, the two rice pathogens, bacterial Xanthomonas oryzae (Xoo) and hemibiotrophic fungus, Magnaporthe oryzae, are extensively well explored for more than the last decade. However, because of lack of holistic stud...

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Detalles Bibliográficos
Autores principales: Kumar, Ravi, Khatri, Abhishek, Acharya, Vishal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218438/
https://www.ncbi.nlm.nih.gov/pubmed/35754717
http://dx.doi.org/10.1016/j.isci.2022.104546

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218438/
https://www.ncbi.nlm.nih.gov/pubmed/35754717
http://dx.doi.org/10.1016/j.isci.2022.104546

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