We have been developing a graph-based RDF data management system, called gStore, since 2009.6 In this paper, we review our research results and provide an overview of our graph-based data management techniques.
In this study, we focus on developing a graph-based algorithm to identify common and frequent network motifs from PPI networks of nine different cancers.
You developed a graph of The Da Vinci Code and Fifty Shades of Grey that shows that they are almost exactly matched in terms of fast and slow moments in their pacing.
Rom (1964) developed a graph to determine γH and γL based on German subsidence experience.
Chen et al. (2013) developed a graph about people's online behaviors using the data from an online financial community.
This research developed a graph which follows the concept in Fig. 11, and it is shown in Fig. 12 where the age of concrete at time of first cracking can be easily identified.
To account for the above theoretical considerations, we developed a graph theory method to group genes into distinct but compensatory pathway pairs, based solely on the local connectivity structure of the synthetic lethal interaction network.
Here, we have developed a graph based algorithm that exploits the structure of the metabolic network to identify groups of dependent reactions.
We have developed a graph Laplacian regularized logistic regression model for selecting the genes or network modules associated with clinical variables from gene expression profiles.
