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 
1
2
3
4
5
6
7
8
9
10
11

//! # Functions for execution over multiple permutations and threads.
//!
//! This offers both a method to parallelize on a single machine or across multiple
//! machines with MPI.
pub mod multi_node;
pub mod single_node;
pub mod task;

pub use multi_node::run as run_multi_node;
pub use single_node::run as run_single_node;
pub use task::Task;