Dataset Information

KnnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable.

ABSTRACT: BACKGROUND:Testing the dependence of two variables is one of the fundamental tasks in statistics. In this work, we developed an open-source R package (knnAUC) for detecting nonlinear dependence between one continuous variable X and one binary dependent variables Y (0 or 1). RESULTS:We addressed this problem by using knnAUC (k-nearest neighbors AUC test, the R package is available at https://sourceforge.net/projects/knnauc/ ). In the knnAUC software framework, we first resampled a dataset to get the training and testing dataset according to the sample ratio (from 0 to 1), and then constructed a k-nearest neighbors algorithm classifier to get the yhat estimator (the probability of y?=?1) of testy (the true label of testing dataset). Finally, we calculated the AUC (area under the curve of receiver operating characteristic) estimator and tested whether the AUC estimator is greater than 0.5. To evaluate the advantages of knnAUC compared to seven other popular methods, we performed extensive simulations to explore the relationships between eight different methods and compared the false positive rates and statistical power using both simulated and real datasets (Chronic hepatitis B datasets and kidney cancer RNA-seq datasets). CONCLUSIONS:We concluded that knnAUC is an efficient R package to test non-linear dependence between one continuous variable and one binary dependent variable especially in computational biology area.

SUBMITTER: Li Y

PROVIDER: S-EPMC6249767 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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knnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable.

Li Yi Y Liu Xiaoyu X Ma Yanyun Y Wang Yi Y Zhou Weichen W Hao Meng M Yuan Zhenghong Z Liu Jie J Xiong Momiao M Shugart Yin Yao YY Wang Jiucun J Jin Li L

BMC bioinformatics 20181122 1

<h4>Background</h4>Testing the dependence of two variables is one of the fundamental tasks in statistics. In this work, we developed an open-source R package (knnAUC) for detecting nonlinear dependence between one continuous variable X and one binary dependent variables Y (0 or 1).<h4>Results</h4>We addressed this problem by using knnAUC (k-nearest neighbors AUC test, the R package is available at https://sourceforge.net/projects/knnauc/ ). In the knnAUC software framework, we first resampled a ...[more]

PMID: 30466390

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Dataset Information

KnnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable.

Publications

knnAUC: an open-source R package for detecting nonlinear dependence between one continuous variable and one binary variable.

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