Microarrays in brain research: the good, the bad and the ugly.

Mirnics K
Nat Rev Neurosci. 2001 2 (6): 444-7

PMID: 11389480 · DOI:10.1038/35077587

Making sense of microarray data is a complex process, in which the interpretation of findings will depend on the overall experimental design and judgement of the investigator performing the analysis. As a result, differences in tissue harvesting, microarray types, sample labelling and data analysis procedures make post hoc sharing of microarray data a great challenge. To ensure rapid and meaningful data exchange, we need to create some order out of the existing chaos. In these ground-breaking microarray standardization and data sharing efforts, NIH agencies should take a leading role

MeSH Terms (11)

Animals Databases, Factual Electronic Data Processing Gene Expression Humans National Institutes of Health (U.S.) Neurosciences Oligonucleotide Array Sequence Analysis Reproducibility of Results Research Design United States

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