Pages that link to "Item:Q2893379"
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The following pages link to Estimating effect sizes of differentially expressed genes for power and sample-size assessments in microarray experiments (Q2893379):
Displaying 9 items.
- An empirical Bayes optimal discovery procedure based on semiparametric hierarchical mixture models (Q382618) (← links)
- Sample size calculation based on generalized linear models for differential expression analysis in RNA-seq data (Q523926) (← links)
- Effect-size estimation using semiparametric hierarchical mixture models in disease-association studies with neuroimaging data (Q2229317) (← links)
- General power and sample size calculations for high-dimensional genomic data (Q2344242) (← links)
- Multi-subgroup gene screening using semi-parametric hierarchical mixture models and the optimal discovery procedure: Application to a randomized clinical trial in multiple myeloma (Q3119843) (← links)
- Assessing Differential Gene Expression with Small Sample Sizes in Oligonucleotide Arrays Using a Mean‐Variance Model (Q5427397) (← links)
- Sample size reassessment for a two-stage design controlling the false discovery rate (Q5962696) (← links)
- Efficient testing and effect size estimation for set‐based genetic association inference via semiparametric multilevel mixture modeling (Q6068651) (← links)
- Two-stage analysis for selecting fixed numbers of features in omics association studies (Q6624666) (← links)
