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

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

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Bioinformatics and Systems Biology Program, Sanford Burnham Prebys Medical Discovery Institute, 10901 N Torrey Pines Rd, La Jolla, CA 92307 USA.
Division of Computer Science, School of Informatics and Computing, Indiana University, Bloomington, IN 47405 USA.



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.


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.


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


Big data; Predictive modeling; Scoring classifier; Structural genomics

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