{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["4(1)"],"submitter":["Huminiecki L"],"pubmed_abstract":["<h4>Background</h4>Extracting biological knowledge from large amounts of gene expression information deposited in public databases is a major challenge of the postgenomic era. Additional insights may be derived by data integration and cross-platform comparisons of expression profiles. However, database meta-analysis is complicated by differences in experimental technologies, data post-processing, database formats, and inconsistent gene and sample annotation.<h4>Results</h4>We have analysed expression profiles from three public databases: Gene Expression Atlas, SAGEmap and TissueInfo. These are repositories of oligonucleotide microarray, Serial Analysis of Gene Expression and Expressed Sequence Tag human gene expression data respectively. We devised a method, Preferential Expression Measure"],"journal":["BMC genomics"],"pagination":["31"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC183867"],"repository":["biostudies-literature"],"pubmed_title":["Congruence of tissue expression profiles from Gene Expression Atlas, SAGEmap and TissueInfo databases."],"pmcid":["PMC183867"],"pubmed_authors":["Lloyd AT","Wolfe KH","Huminiecki L"],"additional_accession":[]},"is_claimable":false,"name":"Congruence of tissue expression profiles from Gene Expression Atlas, SAGEmap and TissueInfo databases.","description":"<h4>Background</h4>Extracting biological knowledge from large amounts of gene expression information deposited in public databases is a major challenge of the postgenomic era. Additional insights may be derived by data integration and cross-platform comparisons of expression profiles. However, database meta-analysis is complicated by differences in experimental technologies, data post-processing, database formats, and inconsistent gene and sample annotation.<h4>Results</h4>We have analysed expression profiles from three public databases: Gene Expression Atlas, SAGEmap and TissueInfo. These are repositories of oligonucleotide microarray, Serial Analysis of Gene Expression and Expressed Sequence Tag human gene expression data respectively. We devised a method, Preferential Expression Measure","dates":{"release":"2003-01-01T00:00:00Z","publication":"2003 Jul","modification":"2025-04-18T11:34:53.949Z","creation":"2019-03-27T00:35:33Z"},"accession":"S-EPMC183867","cross_references":{"pubmed":["12885301"],"doi":["10.1186/1471-2164-4-31"]}}