normalizeUPW: Up weights normalization

In redsnic/CIMICE: CIMICE-R: (Markov) Chain Method to Inferr Cancer Evolution

Up weights normalization

Description

Normalizes up weights so that the sum of weights of edges entering in a node is 1

Usage

normalizeUPW(g, freqs, no.of.children, A, upWeights)

Arguments

g	graph (a Directed Acyclic Graph)
freqs	observed genotype frequencies
no.of.children	number of children for each node
A	adjacency matrix of G
upWeights	Up weights as computed by computeUPW

Value

a vector containing the normalized Up weights for each edge

Examples

require(dplyr)
require(igraph)
preproc <- example_dataset() %>% dataset_preprocessing
samples <- preproc[["samples"]]
freqs   <- preproc[["freqs"]]
labels  <- preproc[["labels"]]
genes   <- preproc[["genes"]]
g <- graph_non_transitive_subset_topology(samples, labels)
# prepare adj matrix
A <- as.matrix(as_adj(g))
# pre-compute exiting edges from each node
no.of.children <- get_no_of_children(A,g)
upWeights <- computeUPW(g, freqs, no.of.children, A)
normalizeUPW(g, freqs, no.of.children, A, upWeights)

redsnic/CIMICE documentation built on March 30, 2022, 2:46 a.m.