Gene expression data from microarray experiments have been studied using several statistical models. Significance Analysis of Microarrays (SAM), for example, has proved to be useful in analyzing microarray data. In the spirit of the SAM procedures, we develop permutation based rank-tests for generalized Wilcoxon ranksum test for two-group comparisons of replicated microarray data. Also, for microarray experiments with randomized block design, we consider generalized signed rank test. The statistical analysis software package is written in R and is freely available in a package
With the introduction of omics-technologies such as transcriptomics and proteomics, numerous methods...
Motivation: We consider the detection of expressed genes and the comparison of them in different exp...
AbstractBreitling et al. [1] introduced a statistical technique, the rank product method, for detect...
In this talk, we compare the performances of two types of non-parametric tests, the generalized rank...
The Significance Analysis of Microarrays (SAM) software is a very practical tool for detecting signi...
We have recently introduced a rank-based test statistic, RankProducts (RP), as a new non-parametric ...
Dondrup M, Hueser AT, Mertens D, Goesmann A. An evaluation framework for statistical tests on microa...
AbstractOne of the main objectives in the analysis of microarray experiments is the identification o...
We present the R package gMWT which is designed for the comparison of several treatments (or groups)...
Abstract Background Microarray experiments examine th...
We propose permutation tests based on the pairwise distances between microarrays to compare location...
We propose permutation tests based on the pairwise distances between microarrays to compare location...
A randomization procedure to evaluate the significance level and the false-discovery rate in complex...
With the introduction of omics-technologies such as transcriptomics and proteomics, numerous methods...
International audienceBACKGROUND: Different methods have been proposed for analyzing differentially ...
With the introduction of omics-technologies such as transcriptomics and proteomics, numerous methods...
Motivation: We consider the detection of expressed genes and the comparison of them in different exp...
AbstractBreitling et al. [1] introduced a statistical technique, the rank product method, for detect...
In this talk, we compare the performances of two types of non-parametric tests, the generalized rank...
The Significance Analysis of Microarrays (SAM) software is a very practical tool for detecting signi...
We have recently introduced a rank-based test statistic, RankProducts (RP), as a new non-parametric ...
Dondrup M, Hueser AT, Mertens D, Goesmann A. An evaluation framework for statistical tests on microa...
AbstractOne of the main objectives in the analysis of microarray experiments is the identification o...
We present the R package gMWT which is designed for the comparison of several treatments (or groups)...
Abstract Background Microarray experiments examine th...
We propose permutation tests based on the pairwise distances between microarrays to compare location...
We propose permutation tests based on the pairwise distances between microarrays to compare location...
A randomization procedure to evaluate the significance level and the false-discovery rate in complex...
With the introduction of omics-technologies such as transcriptomics and proteomics, numerous methods...
International audienceBACKGROUND: Different methods have been proposed for analyzing differentially ...
With the introduction of omics-technologies such as transcriptomics and proteomics, numerous methods...
Motivation: We consider the detection of expressed genes and the comparison of them in different exp...
AbstractBreitling et al. [1] introduced a statistical technique, the rank product method, for detect...