compare_expousre_sets: Compare two sets of exposures by cosine distance
In slw287r/yapsa: Yet Another Package for Signature Analysis

Description Usage Arguments Value See Also Examples

Compare two sets of exposures, stored in numerical data frames H1 and H2, by computing the row-wise cosine distance

1	compare_expousre_sets(in_df_small, in_df_big, in_distance = cosineDist)

`in_df_small, in_df_big`	Numerical data frames `H1` and `H2`, ideally the bigger one first, both with `l` rows and `m1` and `m2` columns, `l` being the number of signatures and `m1` and `m2` being the respective numbers of samples or patient identefier of `H1` and `H2`
`in_distance`	A function which computes the distance measure, default is `cosineDist`

A list with entries distance, hierarchy_small and hierarchy_big.

distance: A numerical data frame with the cosine distances between the columns of H1, indexing the rows, and H2, indexing the columns
hierarchy_small: A data frame carrying the information of ranked similarity between the signatures in H2 with the signatures in H1
hierarchy_big: A data frame carrying the information of ranked similarity between the signatures in H1 with the signatures in H2

cosineDist

sig_1_df <- data.frame(matrix(c(1,0,0,0,0,1,0,0,0,0,1,0),ncol=3))
names(sig_1_df) <- paste0("B",seq_len(dim(sig_1_df)[2]))
sig_2_df <- data.frame(matrix(c(1,1,0,0,0,0,1,1),ncol=2))
compare_expousre_sets(sig_1_df,sig_2_df)