, and log-normal distributions to five microarray gene expression datasets and compare them. …

Multiple testing analysis and clustering methodologies are usually applied in microarray data analysis. A combination … of both methods to deal with multiple comparisons among groups obtained from microarray expressions of genes is proposed … problem from a microarray experiment obtained from gorilla, bonobo and human cultured fibroblasts. …

A paired data set is common in microarray experiments, where the data are often incompletely observed for some pairs … due to various technical reasons. In microarray paired data sets, it is of main interest to detect differentially …

paradigm. The methodology is demonstrated on three clinical microarray datasets in the microarray quality control consortium … still the bottleneck of the microarray problem and the training variability is not negligible. …

genes simultaneously. In microarray data analysis, the comparison of gene-expression profiles with respect to different … distributions of the test statistics. This paper makes two contributions to the analysis of microarray data. The first is the …

genes simultaneously. In microarray data analysis, the comparison of gene-expression profiles with respect to different …