Ordering Quantiles through Confidence Statements
AbstractRanking 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. View Full-Text
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de Campos, C.P.; de B. Pereira, C.A.; Rancoita, P.M.V.; Polpo, A. Ordering Quantiles through Confidence Statements. Entropy 2016, 18, 357.
de Campos CP, de B. Pereira CA, Rancoita PMV, Polpo A. Ordering Quantiles through Confidence Statements. Entropy. 2016; 18(10):357.Chicago/Turabian Style
de Campos, Cassio P.; de B. Pereira, Carlos A.; Rancoita, Paola M.V.; Polpo, Adriano. 2016. "Ordering Quantiles through Confidence Statements." Entropy 18, no. 10: 357.
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