A Relationship Prediction Method for Magnaporthe oryzae–Rice Multi-Omics Data Based on WGCNA and Graph Autoencoder

Magnaporthe oryzae Oryzae (MoO) pathotype is a devastating fungal pathogen of rice; however, its pathogenic mechanism remains poorly understood. The current research is primarily focused on single-omics data, which is insufficient to capture the complex cross-kingdom regulatory interactions between...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Enshuang, Dong, Liyan, Zhao, Hengyi, Zhang, Hao, Zhang, Tianyue, Yuan, Shuai, Jiao, Jiao, Chen, Kang, Sheng, Jianhua, Yang, Hongbo, Wang, Pengyu, Li, Guihua, Qin, Qingming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10607591/
https://www.ncbi.nlm.nih.gov/pubmed/37888263
http://dx.doi.org/10.3390/jof9101007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10607591/
https://www.ncbi.nlm.nih.gov/pubmed/37888263
http://dx.doi.org/10.3390/jof9101007

Ejemplares similares