title: PROPER: Performance visualization for optimizing and comparing ranking classifiers in MATLAB.
abstract: 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.
  
  
  CONCLUSIONS
  PROPER is an efficient tool for optimization and comparison of ranking classifiers, providing over 20 different two- and three-dimensional performance curves.
authors.affiliation: Bioinformatics and Systems Biology Program, Sanford Burnham Prebys Medical Discovery Institute, 10901 N Torrey Pines Rd, La Jolla, CA 92307 USA.
authors.forename: Samad
authors.initials: S
authors.lastname: Jahandideh
authors.affiliation: Division of Computer Science, School of Informatics and Computing, Indiana University, Bloomington, IN 47405 USA.
authors.forename: Fatemeh
authors.initials: F
authors.lastname: Sharifi
authors.affiliation: Bioinformatics and Systems Biology Program, Sanford Burnham Prebys Medical Discovery Institute, 10901 N Torrey Pines Rd, La Jolla, CA 92307 USA.
authors.forename: Lukasz
authors.initials: L
authors.lastname: Jaroszewski
authors.affiliation: Bioinformatics and Systems Biology Program, Sanford Burnham Prebys Medical Discovery Institute, 10901 N Torrey Pines Rd, La Jolla, CA 92307 USA.
authors.forename: Adam
authors.initials: A
authors.lastname: Godzik
keywords: Big data; Predictive modeling; Scoring classifier; Structural genomics