How can microarray data best be exploited and integrated into the regulatory decision-making process?
References
International Human Genome Sequencing Consortium. Nature 409, 860–921 (2001).
Venter, J.C. et al. Science 291, 1304–1351 (2001).
Lesko, L.J. & Woodcock, J. Pharmacogenomics J. 2, 20–24 (2002).
Shi, L. et al. Expert Rev. Mol. Diagn. 4, 761–777 (2004).
Shi, L. et al. BMC Bioinformatics 6 suppl. Suppl. 2, S12 (2005).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Frueh, F. Impact of microarray data quality on genomic data submissions to the FDA. Nat Biotechnol 24, 1105–1107 (2006). https://doi.org/10.1038/nbt0906-1105
Published:
Issue Date:
DOI: https://doi.org/10.1038/nbt0906-1105
- Springer Nature America, Inc.
This article is cited by
-
SNPTrackTM: an integrated bioinformatics system for genetic association studies
Human Genomics (2012)
-
Differential gene expression profiles of neurothekeomas and nerve sheath myxomas by microarray analysis
Modern Pathology (2011)
-
ArrayTrack: a free FDA bioinformatics tool to support emerging biomedical research -- an update
Human Genomics (2010)
-
The development of a comparison approach for Illumina bead chips unravels unexpected challenges applying newest generation microarrays
BMC Bioinformatics (2009)
-
Quality control in microarray assessment of gene expression in human airway epithelium
BMC Genomics (2009)