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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#![doc = include_str!("../README.md")]
pub mod collections;
pub mod dto;
pub mod read;
pub mod run;
pub mod stat_operations;

// Re-export for easier access from the core module
pub use collections::{PermutedRankedFeatureList, RankedFeatureList};
pub use dto::optimize;