Biology-inspired graph neural network encodes reactome and reveals biochemical reactions of disease

Functional heterogeneity of healthy human tissues complicates interpretation of molecular studies, impeding precision therapeutic target identification and treatment. Considering this, we generated a graph neural network with Reactome-based architecture and trained it using 9,115 samples from Genoty...

Descripción completa

Detalles Bibliográficos
Autores principales: Burkhart, Joshua G., Wu, Guanming, Song, Xubo, Raimondi, Francesco, McWeeney, Shannon, Wong, Melissa H., Deng, Youping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382942/
https://www.ncbi.nlm.nih.gov/pubmed/37521042
http://dx.doi.org/10.1016/j.patter.2023.100758

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382942/
https://www.ncbi.nlm.nih.gov/pubmed/37521042
http://dx.doi.org/10.1016/j.patter.2023.100758

Ejemplares similares