CGC_20211118

<p>A data frame listing 'GeneSymbol' and 'Entrez' IDs from the
COSMIC-CGC database (Sondka et al., 2020). These genes are used to
demonstrate the PathwaySpace's summit mapping pipeline, which assigns 
summits to an image space.</p>

For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package then uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' could have various applications, such as visualizing and analyzing network data in a graphical format that highlights the relationships and signal strengths between vertices. It can be particularly useful for understanding the influence of signals through complex networks. By combining graph theory, signal processing, and visualization, the 'PathwaySpace' package provides a novel way of representing and analyzing graph data.

Mauro Castro

PathwaySpace

Spatial Projection of Network Signals along Geodesic Paths

Vinicius Chagas

Victor Apolonio

CGC_20211118 function

Format

COSMIC-CGC genes mapped to PathwaySpace images. — CGC_20211118

COSMIC-CGC genes mapped to PathwaySpace images.

CGC_20211118: COSMIC-CGC genes mapped to PathwaySpace images.

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