This package provides methods for measuring the strength of association between a network and a phenotype. It does this by measuring clustering of the phenotype across the network (Knet). Vertices can also be individually ranked by their strength of association with high-weight vertices (Knode).
|Author||Alex J. Cornish and Florian Markowetz|
|Date of publication||None|
|Maintainer||Alex J. Cornish <firstname.lastname@example.org>|
|License||GPL (>= 2)|
BinGraph: Compute a distance bin matrix from a distance matrix
Compactness: Measure the strength of association using compactness scores
CreateGrid: Generate a grid-like network
DistGraph: Compute the vertex pair distance matrix for a graph
GraphDiffusion: Compute diffusion kernel-based distance matrix
GraphMFPT: Compute mean first-passage time-based distance matrix
Knet: Measure the strength of association between a phenotype and a...
Knode: Rank vertices by their strength of association with...
plot.Knet: Plot the results of the 'Knet' function
SANTA.data: Pre-processed dataset for the SANTA vignette
SpreadHits: Spread hits across a network in clusters