Discovering Distinct Patterns in Gene Expression Profiles

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Discovering Distinct Patterns in Gene Expression Profiles

Traditional analysis of gene expression profiles use clustering to find groups of coexpressed genes which have similar expression patterns. However clustering is time consuming and could be diffcult for very large scale dataset. We proposed the idea of Discovering Distinct Patterns (DDP) in gene expression profiles. Since patterns showing by the gene expressions reveal their regulate mechanisms...

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Distinct Monocyte Gene-Expression Profiles in Autoimmune Diabetes

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Anatomically separate fat depots differ in size, function, and contribution to pathological states, such as the metabolic syndrome. We isolated preadipocytes from different human fat depots to determine whether the basis for this variation is partly attributable to differences in inherent properties of fat cell progenitors. We found that genome-wide expression profiles of primary preadipocytes ...

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High-throughput gene-expression studies result in lists of differentially expressed genes. Most current meta-analyses of these gene lists include searching for significant membership of the translated proteins in various signaling pathways. However, such membership enrichment algorithms do not provide insight into which pathways caused the genes to be differentially expressed in the first place...

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ژورنال

عنوان ژورنال: Journal of Integrative Bioinformatics

سال: 2008

ISSN: 1613-4516

DOI: 10.1515/jib-2008-105