Ordering quantiles through confidence statements

Cassio P. de Campos, Carlos A. de B. Pereira, Paola M.V. Rancoita, Adriano Polpo

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Abstract

Ranking variables according to their relevance to predict an outcome is an important task in biomedicine. For instance, such ranking can be used for selecting a smaller number of genes for then applying other sophisticated experiments only on genes identified as important. A nonparametric method called Quor is designed to provide a confidence value for the order of arbitrary quantiles of different populations using independent samples. This confidence may provide insights about possible differences among groups and yields a ranking of importance for the variables. Computations are efficient and use exact distributions with no need for asymptotic considerations. Experiments with simulated data and with multiple real -omics data sets are performed, and they show advantages and disadvantages of the method. Quor has no assumptions but independence of samples, thus it might be a better option when assumptions of other methods cannot be asserted. The software is publicly available on CRAN.

Original languageEnglish
Article number357
Number of pages14
JournalEntropy
Volume18
Issue number10
DOIs
Publication statusPublished - 8 Oct 2016
Externally publishedYes

Bibliographical note

M1 - 357

Keywords

  • Genomics
  • Median order
  • Nonparametric
  • Quantiles
  • Significance index

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    de Campos, C. P., Pereira, C. A. D. B., Rancoita, P. M. V., & Polpo, A. (2016). Ordering quantiles through confidence statements. Entropy, 18(10), [357]. https://doi.org/10.3390/e18100357