PROPER: Performance visualization for optimizing and comparing ranking classifiers in MATLAB期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

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

Authors:	Email author" target="_blank">Samad?Jahandideh Email author Fatemeh?Sharifi Lukasz?Jaroszewski Email author" target="_blank">Adam?Godzik Email author

Institution:	1.Bioinformatics and Systems Biology Program,Sanford Burnham Prebys Medical Discovery Institute,La Jolla,USA;2.Division of Computer Science, School of Informatics and Computing,Indiana University,Bloomington,USA

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

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