Cargando…
GCSENet: A GCN, CNN and SENet ensemble model for microRNA-disease association prediction
Recently, an increasing number of studies have demonstrated that miRNAs are involved in human diseases, indicating that miRNAs might be a potential pathogenic factor for various diseases. Therefore, figuring out the relationship between miRNAs and diseases plays a critical role in not only the devel...
Autores principales: | Li, Zhong, Jiang, Kaiyancheng, Qin, Shengwei, Zhong, Yijun, Elofsson, Arne |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205154/ https://www.ncbi.nlm.nih.gov/pubmed/34081706 http://dx.doi.org/10.1371/journal.pcbi.1009048 |
Ejemplares similares
-
The combination model of CNN and GCN for machine fault diagnosis
por: Zhang, Qianqian, et al.
Publicado: (2023) -
Semi‐supervised classification of fundus images combined with CNN and GCN
por: Duan, Sixu, et al.
Publicado: (2022) -
Fast and accurate microRNA search using CNN
por: Tang, Xubo, et al.
Publicado: (2019) -
Classification of breast cancer histopathological images using interleaved DenseNet with SENet (IDSNet)
por: Li, Xia, et al.
Publicado: (2020) -
Improved YOLOv3 Integrating SENet and Optimized GIoU Loss for Occluded Pedestrian Detection
por: Zhang, Qiangbo, et al.
Publicado: (2023)