Cross-platform comparability of microarray data
Ontology highlight
ABSTRACT: To facilitate collaborative research efforts between multi-investigator teams using DNA microarrays, we identified sources of error and data variability between laboratories and across microarray platforms and methods to accommodate this variability. RNA expression data were generated in seven laboratories, comparing two standard RNA samples using twelve microarray platforms. At least two standard microarray types (one spotted, one commercial) were used by all laboratories. Reproducibility for most platforms within any laboratory was typically good, but reproducibility between platforms and across laboratories was generally poor. Reproducibility between laboratories dramatically increased when standardized protocols were implemented for RNA labeling, hybridization, microarray processing
ORGANISM(S): Mus musculus
SUBMITTER: Ivan Rusyn
PROVIDER: E-GEOD-2458 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
ACCESS DATA