- A practical guide to methods controlling false discoveries in ...🔍
- False Discovery Rate Control With Groups🔍
- Covariate powered cross| weighted multiple testing🔍
- Null|free False Discovery Rate Control Using Decoy Permutations🔍
- A tool for life science researchers for multiple hypothesis testing ...🔍
- Covariate|modulated large|scale multiple testing under dependence🔍
- On the Adaptive Control of the False Discovery Rate in Multiple ...🔍
- A Tutorial on False Discovery Control🔍
Fast and covariate|adaptive method amplifies detection power in ...
A practical guide to methods controlling false discoveries in ...
Data-driven hypothesis weighting increases detection power in genome-scale multiple testing. Nat Methods. 2016; 13:577–80. Article CAS ...
False Discovery Rate Control With Groups - Taylor & Francis Online
... procedure which utilizes the ... Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing.
Covariate powered cross- weighted multiple testing
(2019) Fast and covariate- adaptive method amplifies detection power in large- scale mul- tiple hypothesis testing. Nature Communications ...
Null-free False Discovery Rate Control Using Decoy Permutations
... approach, named target-decoy procedure ... Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing.
A tool for life science researchers for multiple hypothesis testing ...
Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing. Nature Communications. 2019;10 ...
Covariate-modulated large-scale multiple testing under dependence
In the oracle case where all parameters of the covariate-modulated HMM are known, the cmLIS procedure is shown to be valid and optimal in some sense. According ...
On the Adaptive Control of the False Discovery Rate in Multiple ...
A new approach to problems of multiple significance testing was presented in Benjamini and Hochberg (1995), which calls for controlling the expected ratio ...
A Tutorial on False Discovery Control - Statistics & Data Science
The BH method is fast and robust, but it overcontrols FDR. • Good adaptive methods exist that can increase power. ... in multiple testing with independent ...
A tool for life science researchers for multiple hypothesis testing ...
However, the method requires an estimation of ... Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing.
Adaptive False Discovery Rate Control with Privacy Guarantee
the proposed method has better power than the DP-BH procedure. ... Data-driven hypothesis weighting increases detection power in genome-scale multiple testing.
False discovery rate approach to dynamic change detection
In multiple data stream surveillance, the rapid and sequential identification of individuals whose behavior deviates from the norm has become particularly ...
Probabilistic Model Incorporating Auxiliary Covariates to Control FDR
Data-driven hypothesis weighting increases detection power in genome-scale multiple testing. ... Fast and covariate-adaptive method amplifies.
Adaptive linear step-up procedures that control the false - jstor
controls the false discovery rate and it necessarily increases power. He ... A permutational step-up method for testing multiple outcomes. J. Statist ...
VBASS enables integration of single cell gene expression data in ...
Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing. Nat. Commun. 10, 3433 (2019) ...
Adaptive Linear Step-up Procedures that control the False Discovery ...
FDR and it necessarily increases power. Hence, we may extend this approach ... A permutational step-up method for testing multiple outcomes. J. Statist ...
Adaptive False Discovery Rate Control with Privacy Guarantee - arXiv
“Data-driven hypothesis weighting increases detection power in genome-scale multiple testing.” Nature methods, 13(7), 577–580. Kamm, L ...
Martin Jinye Zhang - Google 学术搜索
Fast and covariate-adaptive method amplifies detection power in large-scale multiple hypothesis testing. MJ Zhang, F Xia, J Zou. Nature communications 10 (1) ...
Introduction to IHW - Bioconductor
IHW (Independent Hypothesis Weighting) is a multiple testing procedure, but in addition to the p-values it allows you to specify a covariate for each test.
False discovery rate - Wikipedia
In statistics, the false discovery rate (FDR) is a method of conceptualizing the rate of type I errors in null hypothesis testing when conducting multiple ...
Asymptotic Results on Adaptive False Discovery Rate Controlling ...
Keywords: multiple testing, false discovery rate, Benjamini Hochberg's procedure, power, crit- icality, plug-in procedures, adaptive control, test ...