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- W2912884541 abstract "Abstract Modeling and statistically analyzing epigenetic data is a challenging task. In particular, parametric model assumptions for their distribution are often hard to verify, especially due to constantly evolving measurement techniques. We define a nonparametric two-group model for multivariate epigenetic measurements. Based on this model, multiple test procedures are derived for the detection of coordinate-wise distributional differences between the two groups. The multivariate character of the proposed procedures is targeted towards an optimization of statistical power, while keeping the family-wise error rate under control. A real data example is presented, and some possible extensions of the proposed methodology are discussed." @default.
- W2912884541 created "2019-02-21" @default.
- W2912884541 creator A5026392908 @default.
- W2912884541 date "2019-01-01" @default.
- W2912884541 modified "2023-09-28" @default.
- W2912884541 title "Statistical Approaches for Epigenetic Data Analysis" @default.
- W2912884541 doi "https://doi.org/10.1016/b978-0-12-814513-5.00003-9" @default.
- W2912884541 hasPublicationYear "2019" @default.
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