Deep learning for plant bioinformatics: an explainable gradient-based approach for disease detection

Emerging in the realm of bioinformatics, plant bioinformatics integrates computational and statistical methods to study plant genomes, transcriptomes, and proteomes. With the introduction of high-throughput sequencing technologies and other omics data, the demand for automated methods to analyze and...

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Detalles Bibliográficos
Autores principales: Shoaib, Muhammad, Shah, Babar, Sayed, Nasir, Ali, Farman, Ullah, Rafi, Hussain, Irfan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612337/
https://www.ncbi.nlm.nih.gov/pubmed/37900739
http://dx.doi.org/10.3389/fpls.2023.1283235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612337/
https://www.ncbi.nlm.nih.gov/pubmed/37900739
http://dx.doi.org/10.3389/fpls.2023.1283235

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