Function that use the previously calculated similarities into a single similarity matrix.
Usage
addSimilarities(x, bio_mat, weights = c(0.5, 0.18, 0.1, 0.22))Arguments
- x
A matrix with the similarity of expression
- bio_mat
A list of matrices of the same dimension as x.
- weights
A numeric vector of weight to multiply each similarity
Details
The total weight can't be higher than 1 to prevent values above 1 but can be below 1. It uses weighted.sum with abs = TRUE internally.
Examples
set.seed(100)
a <- seq2mat(LETTERS[1:5], rnorm(10))
b <- seq2mat(LETTERS[1:5], seq(from = 0.1, to = 1, by = 0.1))
sim <- list(b)
addSimilarities(a, sim, c(0.5, 0.5))
#> A B C D E
#> A 1.0000000 -0.3010962 0.1657656 0.6433924 -0.6408953
#> B -0.3010962 1.0000000 -0.1894585 0.3084856 0.7572664
#> C 0.1657656 -0.1894585 1.0000000 0.4593150 -0.8626297
#> D 0.6433924 0.3084856 0.4593150 1.0000000 -0.6799311
#> E -0.6408953 0.7572664 -0.8626297 -0.6799311 1.0000000