Benchmark of computational methods for predicting microRNA-disease associations
- 1. Peking University
- 2. Hebei University of Technology
Description
Based on more than 8,000 novel miRNA-disease associations from the latest HMDD database, we performed systematic comparison among currently readily available prediction methods. The related source codes for implementing the benchmarking test were made available here.
Source codes implemented on Python 2.7:
PRC.py----------calculate AUPRC of predictors and plot PRC charts
ROC.py----------calculate AUROC and plot ROC charts
Max_min data.py----------iterative integration of predictors using their Max_min normalized results
Sigmoid data.py----------iterative integration of predictors using their Sigmoid normalized results
Z_score data.py----------iterative integration of predictors using their Z_score normalized results
Original data.py----------iterative integration of predictors using their original results
Files
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