Generate a heatmap representation of overlapping meta-features across
top N feature searches using candidate_search()
function
topn_plot(topn_list)
a list of objects returned from candidate_search()
using simulated dataset FS = sim_FS
, input_score = sim_Scores
,
top_N = 7
, method = "ks_pval"
, alternative = "less"
,
search_method = "both"
, max_size = 10
,
and best_score_only = FALSE
as inputs to the function.
The resulting list contains a set of meta-features in form of SummarizedExperiment object, a vector of observed input scores, and its corresponding best score over top N feature searches
a heatmap of overlapping meta-features for a given top N feature searches
# Load pre-computed Top-N list generated for sim_FS dataset
data(topn_list)
# Get the overlapping top N plot
topn_plot(topn_list = topn_list)