Enabling Comprehension of Patient Subgroups and Characteristics in Large Bipartite Networks: Implications for Precision Medicine

A primary goal of precision medicine is to identify patient subgroups based on their characteristics (e.g., comorbidities or genes) with the goal of designing more targeted interventions. While network visualization methods such as Fruchterman-Reingold have been used to successfully identify such pa...

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Detalles Bibliográficos
Autores principales: Bhavnani, Suresh K., Chen, Tianlong, Ayyaswamy, Archana, Visweswaran, Shyam, Bellala, Gowtham, Rohit, Divekar, Kevin E., Bassler
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2017
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543384/
https://www.ncbi.nlm.nih.gov/pubmed/28815099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543384/
https://www.ncbi.nlm.nih.gov/pubmed/28815099

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