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bdgrn's Introduction

BDGRN

Using Bayesian correlations to infer gene regulatory network

Data

We provide all datasets used in our paper, including simulated and experimental data. We also provide an example datasets here(/BDGRN/data/example).

Quick Start

You can start with example.R, which can directly used our algorithm to predict gene association on the example datasets, its outputs are AUPRC/AUROC ratios and EPR (early precision ratio).

Compute AUPRC/AUROC ratio

  • If you want to take advantage of our BDGRN to compute AUPRC/AUROC/EP ratio, you can run example.R.
  • In addition, the specific calculation function is defined in computer.R.
  • The density.csv is density of different network in /BDGRN/data/

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