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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Bibliografiske detaljer
Udgivet i:AMIA Jt Summits Transl Sci Proc
Main Authors: Bhavnani, Suresh K., Chen, Tianlong, Ayyaswamy, Archana, Visweswaran, Shyam, Bellala, Gowtham, Rohit, Divekar, Kevin E., Bassler
Format: Artigo
Sprog:Inglês
Udgivet: American Medical Informatics Association 2017
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Articles
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5543384/
https://ncbi.nlm.nih.gov/pubmed/28815099
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