Cargando…
MADGAN:A microbe-disease association prediction model based on generative adversarial networks
Researches have demonstrated that microorganisms are indispensable for the nutrition transportation, growth and development of human bodies, and disorder and imbalance of microbiota may lead to the occurrence of diseases. Therefore, it is crucial to study relationships between microbes and diseases....
Autores principales: | Hu, Weixin, Yang, Xiaoyu, Wang, Lei, Zhu, Xianyou |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076708/ https://www.ncbi.nlm.nih.gov/pubmed/37032881 http://dx.doi.org/10.3389/fmicb.2023.1159076 |
Ejemplares similares
-
MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction
por: Han, Changhee, et al.
Publicado: (2021) -
Metapath Aggregated Graph Neural Network and Tripartite Heterogeneous Networks for Microbe-Disease Prediction
por: Chen, Yali, et al.
Publicado: (2022) -
Graph neural network and multi-data heterogeneous networks for microbe-disease prediction
por: Gong, Houwu, et al.
Publicado: (2022) -
Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network
por: Lei, Xiujuan, et al.
Publicado: (2020) -
Generative Adversarial Networks for Crystal Structure
Prediction
por: Kim, Sungwon, et al.
Publicado: (2020)