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CrossRef Text and Data Mining |
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Multiple Group Testing Procedures for Analysis of High-Dimensional Genomic Data |
Hyoseok Ko, Kipoong Kim, Hokeun Sun |
Genomics Inform. 2016;14(4):187-195. Published online December 30, 2016 DOI: https://doi.org/10.5808/GI.2016.14.4.187 |
Multiple Group Testing Procedures for Analysis of High-Dimensional Genomic Data Nonparametric relevance-shifted multiple testing procedures for the analysis of high-dimensional multivariate data with small sample sizes Variable selection for high-dimensional genomic data with censored outcomes using group lasso prior Weighted multiple testing procedures for genomic studies Multiple testing procedures for analyzing stratified comparative clinical trials using odds ratios On power and sample size computation for multiple testing procedures Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration Semisupervised Methods for Analyzing High‐dimensional Genomic Data Overlapping Group Screening for Detection of Gene-environment Interactions with Application to TCGA High-dimensional Survival Genomic Data Testing the mean matrix in high-dimensional transposable data |