Function to assess similarity within clusters — similarity

This function assess the mean/median similarity of each cluster

Usage

similarity_cluster(score_file, kmeans_output, output_type)

Arguments

score_file: file containing the scores of each pairwise alignment
kmeans_output: k-means file
output_type: type of output (table or plot)

Value

It returns a dataframe or a ggplot figure

Examples


similarity_cluster(score_file, kmeans_output, output_type = "plot")

similarity_cluster(score_file, kmeans_output, output_type = "table")
#> # A tibble: 5 × 4
#>   cluster   mean_similarity median_similarity number_of_genes
#>   <chr>               <dbl>             <dbl>           <int>
#> 1 cluster_1           0.301             0.173              49
#> 2 cluster_2           0.953             0.976              78
#> 3 cluster_3           0.595             0.583             160
#> 4 cluster_4           0.405             0.326             215
#> 5 cluster_5           0.587             0.654             114