A graph-embedded topic model enables characterization of diverse pain phenotypes among UK biobank individuals

Large biobank repositories of clinical conditions and medications data open opportunities to investigate the phenotypic disease network. We present a graph embedded topic model (GETM). We integrate existing biomedical knowledge graph information in the form of pre-trained graph embedding into the em...

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Detalles Bibliográficos
Autores principales: Wang, Yuening, Benavides, Rodrigo, Diatchenko, Luda, Grant, Audrey V., Li, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142639/
https://www.ncbi.nlm.nih.gov/pubmed/35637735
http://dx.doi.org/10.1016/j.isci.2022.104390

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142639/
https://www.ncbi.nlm.nih.gov/pubmed/35637735
http://dx.doi.org/10.1016/j.isci.2022.104390

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