Cargando…
Understanding microbiome dynamics via interpretable graph representation learning
Large-scale perturbations in the microbiome constitution are strongly correlated, whether as a driver or a consequence, with the health and functioning of human physiology. However, understanding the difference in the microbiome profiles of healthy and ill individuals can be complicated due to the l...
Autores principales: | Melnyk, Kateryna, Weimann, Kuba, Conrad, Tim O. F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899240/ https://www.ncbi.nlm.nih.gov/pubmed/36739319 http://dx.doi.org/10.1038/s41598-023-29098-7 |
Ejemplares similares
-
Transfer learning for ECG classification
por: Weimann, Kuba, et al.
Publicado: (2021) -
Graph representation learning
por: Hamilton, William L
Publicado: (2020) -
Representation Learning for Dynamic Functional Connectivities via Variational Dynamic Graph Latent Variable Models
por: Huang, Yicong, et al.
Publicado: (2022) -
TemporalGAT: Attention-Based Dynamic Graph Representation Learning
por: Fathy, Ahmed, et al.
Publicado: (2020) -
Text-Graph Enhanced Knowledge Graph Representation Learning
por: Hu, Linmei, et al.
Publicado: (2021)