NetInt (version 1.0.0)

UA.int: Unweighted Average (UA) network integration

Description

It performs the unweighted average integration between networks:

w_ij = 1n _d = 1^n w_ij^d

Usage

UA.int(align = TRUE, ...)

Value

the integrated matrix : the matrix resulting from UA.

Arguments

align

logical. If TRUE (def.) the matrices are aligned using align.networks, otherwise they are directly summed without any previous alignment.

...

a list of numeric matrices. These must be named matrices representing adjacency matrices of the networks. Matrices may have different dimensions, but corresponding elements in different matrices must have the same name.

Examples

# Create three example networks of different size
set.seed(123);
A1 <- matrix(runif(100, min = 0, max = 1), nrow = 10);
A1[lower.tri(A1)] = t(A1)[lower.tri(A1)];
diag(A1) <- 0;
rownames(A1) <- colnames(A1) <- sample(LETTERS, 10);

A2 <- matrix(runif(49, min = 0, max = 1), nrow = 7);
A2[lower.tri(A2)] = t(A2)[lower.tri(A2)];
diag(A2) <- 0;
rownames(A2) <- colnames(A2) <- rownames(A1)[1:7];

A3 <- matrix(runif(100, min = 0, max = 1), nrow = 10);
A3[lower.tri(A3)] = t(A3)[lower.tri(A3)];
diag(A3) <- 0;
rownames(A3) <- colnames(A3) <- c(rownames(A1)[1:5], c("A", "B", "Z", "K", "Q"));

# Integrate networks using Unweighted Average (UA) method
A_int <- UA.int(align=TRUE, A1, A2, A3);