Controlling mixed directional false discovery rate in multidimensional decisions with applications to microarray studies
From MaRDI portal
Publication:1616696
DOI10.1007/S11749-017-0547-1zbMath1404.62131OpenAlexW2663995332MaRDI QIDQ1616696
Publication date: 7 November 2018
Published in: Test (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11749-017-0547-1
Applications of statistics to biology and medical sciences; meta analysis (62P10) Paired and multiple comparisons; multiple testing (62J15)
Related Items (1)
Cites Work
- Unnamed Item
- Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses
- On adaptive procedures controlling the familywise error rate
- Genome-wide significance levels and weighted hypothesis testing
- A stochastic process approach to false discovery control.
- Adaptive FDR control under independence and dependence
- Adaptive linear step-up procedures that control the false discovery rate
- False discovery control with p-value weighting
- Controlling False Discoveries in Multidimensional Directional Decisions, with Applications to Gene Expression Data on Ordered Categories
- Clustering Short Gene Expression Profiles
- Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control
- Multiple Hypotheses Testing with Weights
- Controlling the Familywise Error Rate with Plug-in Estimator for the Proportion of True Null Hypotheses
- A Direct Approach to False Discovery Rates
- An improved Bonferroni procedure for multiple tests of significance
- False Discovery Rate Control With Groups
- Estimating the Null and the Proportion of Nonnull Effects in Large-Scale Multiple Comparisons
- False Discovery Rate–Adjusted Multiple Confidence Intervals for Selected Parameters
This page was built for publication: Controlling mixed directional false discovery rate in multidimensional decisions with applications to microarray studies