Congruence of tissue expression profiles from Gene Expression Atlas, SAGEmap and TissueInfo databases.

ABSTRACT:

Background

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.

Results

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

SUBMITTER: Huminiecki L 

PROVIDER: S-EPMC183867 | biostudies-literature | 2003 Jul

REPOSITORIES: biostudies-literature