Spatial Analysis of Network Associations

Documentation for package ‘SANTA’ version 1.0.0

CheckAttributes	Check that a graph is associated with the correct vertex and edge attributes and can be passed to the 'Knet' and 'Knode' function.
CreateGraph	Generate a simple undirected graph, with or without vertex weights and edge distances.
CreateGrid	Generate a grid-like graph.
DistGraph	Compute the vertex pair distance matrix of a graph.
GraphDiffusion	Compute the distances between vertex pairs using a diffusion kernel-based method.
GraphMFPT	Compute the distances between vertex pairs using a mean first-passage time-based method.
Knet	Measure the strength of association between a phenotype and a network by computing the strength of hit clustering on the network.
Knode	Rank vertices by their strength of association with high-weight vertices.
MarkovCentrality	Compute the Markov centrality score for each vertex in a graph.
plot.Knet	Plot the results of the Knet function.
SpreadHits	Spread hits across a graph.
treated.dataframe	Edges from the genetic interaction network created by Bandyopadhyay et al. (2010) using yeast treated with the DNA-damaging agent methyl methanesulfonate (MMS)
untreated.dataframe	Edges from the genetic interaction network created by Bandyopadhyay et al. (2010) using yeast under normal laboratory conditions.