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Co-occurrence matrices are one of three texture algorithms commonly used on Computed Tomography (CT) images. In this paper we analyze the directional invariance of Co-occurrence matrices for the purpose of reducing their runtime by reducing the number of directions analyzed without negatively affecting the quality of the texture data extracted.
The GeneWeaver bipartite data model provides an efficient means to evaluate shared molecular components from sets derived across diverse species, disease states and biological processes. In order to adapt this model for examining related molecular components and biological networks, such as pathway or gene network data, we have developed a means to leverage(More)
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