Abstract: We present a novel technique—Compressed Adjacency Matrices—for visualizing gene regulatory networks. These directed networks have strong structural characteristics: out-degrees with a ...

Abstract: Visualizing networks has become a very important research and application topic in the recent years, due to the availability of network data through the web, but also to the need of ...

Adjacency matrices are useful for storing pairwise interaction data, such as correlations between gene pairs in a pathway or similarities between genes and conditions. The aMatReader app enables users ...

What happens, and what did you expect instead? When using the as_adjacency_matrix with sparse = F no diagonal elements (self-loops of the graph) are present in the ...