Compressed Adjacency Matrices: Untangling Gene Regulatory Networks
Compressed Adjacency Matrices: Untangling Gene Regulatory Networks is a scholarly work, published in 2012 in ''IEEE Transactions on Visualization and Computer Graphics''. The main subjects of the publication include visualization, gene regulatory network, data mining, theoretical computer science, electronic circuit topology, adjacency list, adjacency matrix, computer science, gene expression, microarray, and node. The authors present a novel technique-Compressed Adjacency Matrices-for visualizing gene regulatory networks.