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

computeUPW

R Documentation

Up weights computation

Description

Computes the up weights formula using a Dinamic Programming approach (starting call), see vignettes for further explaination.

Usage

computeUPW(g, freqs, no.of.children, A)

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

Value

a vector containing the 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)
computeUPW(g, freqs, no.of.children, A)

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