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

Summary: 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 in...

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Podrobná bibliografie

Hlavní autoři:	Yuening Wang, Rodrigo Benavides, Luda Diatchenko, Audrey V. Grant, Yue Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2022-06-01
Edice:	iScience
Témata:	health sciences general medicine bioinformatics medical informatics
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2589004222006617
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