bayes {MetNet}R Documentation

Create an adjacency matrix based on constraint-based structure learning algorithm

Description

bayes infers an adjacency matrix using constraint-based structure learning algorithm fast.iamb from the bnlearn package. bayes extracts then the reported connections from running the fast.iamb function and assigns the arcs of the discrete Bayesian connections to binary values. The adjacency matrix is returned by bayes.

Usage

bayes(x, ...)

Arguments

x

matrix, where columns are the samples and the rows are features (metabolites), cell entries are intensity values

...

parameters passed to fast.iamb

Details

For use of the parameters used in the fast.iamb function, refer to ?bnlearn::fast.iamb.

Value

matrix, matrix with edges inferred from constraint-based structure learning algorithm fast.iamb

Author(s)

Thomas Naake, thomasnaake @googlemail.com

Examples

data("x_test", package="MetNet")
x <- x_test[, 3:dim(x_test)[2]]
x <- as.matrix(x)
bayes(x)

[Package MetNet version 1.0.1 Index]