PROPER: Performance visualization for optimizing and comparing ranking classifiers in MATLAB

Source Code Biol Med. 2015 Dec 3;10:15. doi: 10.1186/s13029-015-0047-1. eCollection 2015.


Background: One of the recent challenges of computational biology is development of new algorithms, tools and software to facilitate predictive modeling of big data generated by high-throughput technologies in biomedical research.

Results: To meet these demands we developed PROPER - a package for visual evaluation of ranking classifiers for biological big data mining studies in the MATLAB environment.

Conclusion: PROPER is an efficient tool for optimization and comparison of ranking classifiers, providing over 20 different two- and three-dimensional performance curves.

Keywords: Big data; Predictive modeling; Scoring classifier; Structural genomics.