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Benjamini and Hochberg suggest that the false discovery rate may be the appropriate error rate to control in many applied multiple testing problems. A simple procedure was given there as an FDR… (More)
- Anat Reiner, Daniel Yekutieli, Yoav Benjamini
- Bioinformatics
- 2003
MOTIVATION
DNA microarrays have recently been used for the purpose of monitoring expression levels of thousands of genes simultaneously and identifying those genes that are differentially expressed.… (More)
We attempt to recover an n-dimensional vector observed in white noise, where n is large and the vector is known to be sparse, but the degree of sparsity is unknown. We consider three different ways… (More)
- Yulia Golland, Shlomo Bentin, +5 authors Rafael Malach
- Cerebral cortex
- 2007
When exposing subjects to a continuous segment of an audiovisual movie, a large expanse of human cortex, especially in the posterior half of the cerebral cortex, shows stimulus-driven activity.… (More)
- Yoav Benjamini
- 2006
The problem of multiple testing for the presence of signal in spatial data can involve a large number of locations. Traditionally, each location is tested separately for signal presence but then the… (More)
Wavelet techniques have become an attractive and efficient tool in function estimation. Given noisy data, its discrete wavelet transform is an estimator of the wavelet coefficients. It has been shown… (More)
A new false discovery rate controlling procedure is proposed for multiple hypotheses testing. The procedure makes use of resampling-based p-value adjustment, and is designed to cope with correlated… (More)
Given noisy signal, its nite discrete wavelet transform is an estimator of signal's wavelet expansion coeecients. An appropriate thresholding of coeecients for further reconstruction of de-noised… (More)
- Ruth Heller, Damian Stanley, Daniel Yekutieli, Nava Rubin, Yoav Benjamini
- NeuroImage
- 2006
We propose a method for the statistical analysis of fMRI data that tests cluster units rather than voxel units for activation. The advantages of this analysis over previous ones are both conceptual… (More)
In this paper we offer a multiplicity of approaches and procedures for multiple testing problems with weights. Some rationale for incorporating weights in multiple hypotheses testing are discussed.… (More)