network_propagation: Network propagation

In emosca-cnr/dmfind002: Network diffusion-based analysis of omics data

Network propagation

Description

Network propagation

Usage

network_propagation(
  F0,
  A,
  alpha = 0.7,
  nMax = 10000,
  eps = 1e-06,
  final.smooth = FALSE,
  all.steps = FALSE,
  verbose = FALSE
)

Arguments

F0	vector or matrix composed of column vectors with initial distribution of information
A	normalized adjacency matrix
alpha	numeric, the smothing factor
nMax	numeric, maximum number of iterations
eps	numeric, the iteration will stop when the maximum difference between matrix Ft between two consecutive iteraction is smaller than eps
final.smooth	TRUE/FALSE, whether to do the final step of smoothing
all.steps	TRUE/FALSE, whether to store all steps
verbose	TRUE/FALSE

Value

a list with:

• Ft the smoothed matrix;

• eps see above;

• max.abs.diff max(abs(F_t) - abs(F_t-1));

• Ft.all transient Ft matrices.

emosca-cnr/dmfind002 documentation built on May 16, 2024, 10:44 p.m.