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Background Transcriptional regulation in eukaryotes generally operates at the level of individual genes. Regulation of sets of adjacent genes by mechanisms operating at the level of chromosomal domains has been…
Updated Oct 29, 2026
HealthData.Gov
Background Microarray technologies are emerging as a promising tool for genomic studies. The challenge now is how to analyze the resulting large amounts of data. Clustering techniques have been widely applied in…
Updated Oct 29, 2026
HealthData.Gov
Meaningful exchange of microarray data is currently difficult because it is rare that published data provide sufficient information depth or are even in the same format from one publication to another. MAGE will help…
Updated Oct 29, 2026
HealthData.Gov
Background Microarray experiments offer a potent solution to the problem of making and comparing large numbers of gene expression measurements either in different cell types or in the same cell type under different…
Updated Oct 29, 2026
HealthData.Gov
Background In microarray data analysis, the comparison of gene-expression profiles with respect to different conditions and the selection of biologically interesting genes are crucial tasks. Multivariate statistical…
Updated Oct 29, 2026
HealthData.Gov
A number of procedures for normalization and detection of differentially expressed genes have been proposed. Four different normalization methods and all possible combinations with three different statistical algorithms…
Updated Oct 29, 2026
HealthData.Gov
Background Data from thousands of transcription-profiling experiments in organisms ranging from yeast to humans are now publicly available. How best to analyze these data remains an important challenge. A variety of…
Updated Oct 29, 2026
HealthData.Gov
The lack of efficient techniques for assessing the biological implications of microarray gene-expression data remains an important obstacle in exploiting this information. To address this need, a mining technique has…
Updated Oct 29, 2026
