@article{ye_dslice:_2015,
	title = {dslice: an {R} package for nonparametric testing of associations with application in {QTL} and gene set analysis.},
	volume = {31},
	url = {http://bioinformatics.oxfordjournals.org/content/31/11/1842.full},
	doi = {10.1093/bioinformatics/btv021},
	abstract = {SUMMARY::Many statistical problems in bioinformatics and genetics can be formulated as the testing of associations between a categorical variable and a continuous variable. A dynamic slicing method was proposed for non-parametric dependence testing, which has been demonstrated to have higher powers compared with traditional methods such as Kolmogorov-Smirnov test. We introduce an R package dslice to facilitate the use of dynamic slicing method in bioinformatic applications such as quantitative trait loci study and gene set enrichment analysis. AVAILABILITY AND IMPLEMENTATION::dslice is implemented in Rcpp and available in the Comprehensive R Archive Network. The package is distributed under the GNU General Public License (version 2 or later). CONTACT::zhangxg@tsinghua.edu.cn or jliu@stat.harvard.edu.},
	language = {English},
	number = {11},
	journal = {Bioinformatics},
	author = {Ye, Chao and Jiang, Bo and Zhang, Xuegong and Liu, Jun S},
	month = jan,
	year = {2015},
	pmid = {25609796},
	pages = {1842--1844},
}

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