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ABSTRACT: Background
Human tissue displays a remarkable diversity in structure and function. To understand how such diversity emerges from the same DNA, systematic measurements of gene expression across different tissues in the human body are essential. Several recent studies addressed this formidable task using microarray technologies. These large tissue expression data sets have provided us an important basis for biomedical research. However, it is well known that microarray data can be compromised by high noise level and various experimental artefacts. Critical comparison of different data sets can help to reveal such errors and to avoid pitfalls in their application.Results
We present here the first comparison and integration of four freely available tissue expression data sets g
SUBMITTER: Russ J
PROVIDER: S-EPMC2885367 | biostudies-literature | 2010 May
REPOSITORIES: biostudies-literature