Project description:Gene expression microarrays have made a profound impact in biomedical research. The diversity of platforms and analytical methods has made comparison of data from multiple platforms very challenging. In this study, we describe a framework for comparisons across platforms and laboratories. We have attempted to include nearly all the available commercial and “in-house” platforms. Using probe sequences matched at the exon level improved consistency of measurements across the different microarray platforms compared to annotation-based matches. Generally, consistency was good for highly expressed genes, and variable for genes with lower expression values as confirmed by QRT-PCR. Concordance of measurements was higher between laboratories on the same platform than across platforms. We demonstrate that, after stringent pre-processing, commercial arrays were more consistent than “in-house” arrays, and by most measures, one-dye platforms were more consistent than two-dye platforms. Keywords: cross platform microarrays

2006-06-01 | GSE4830 | GEO

Mergen experiments for cross-platform study including site 2 data

2006-06-01 | GSE4837 | GEO

GE Healthcare (Amersham) experiments for cross-platform study including site 2 data

2006-06-01 | GSE4835 | GEO

Agilent experiments for cross-platform study

2006-06-01 | GSE4831 | GEO

ABI experiments for cross-platform study

2006-06-01 | GSE4829 | GEO

FAIR data for optical tweezers experiments.

Project description: Not available

| S-EPMC12044397 | biostudies-literature