dual_threshold_optimization 2.0.1

Dual Threshold Optimization compares two ranked lists of features (e.g. genes) to determine the rank threshold for each list that minimizes the hypergeometric p-value of the overlap of features. It then calculates a permutation based empirical p-value and an FDR. Details can be found [in this paper](https://doi.org/10.1101/gr.259655.119)
Documentation 
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//! # Functions to import data from files.
pub mod read_feature_list_from_file;
pub mod read_ranked_feature_list_from_csv;

pub use read_feature_list_from_file::read_feature_list_from_file;
pub use read_ranked_feature_list_from_csv::read_ranked_feature_list_from_csv;