Incorporation of gene-specific variability improves expression analysis using high-density DNA microarrays.

ABSTRACT:

Background

The assessment of data reproducibility is essential for application of microarray technology to exploration of biological pathways and disease states. Technical variability in data analysis largely depends on signal intensity. Within that context, the reproducibility of individual probe sets has not been hitherto addressed.

Results

We used an extraordinarily large replicate data set derived from human placental trophoblast to analyze probe-specific contribution to variability of gene expression. We found that signal variability, in addition to being signal-intensity dependant, is probe set-specific. Importantly, we developed a novel method to quantify the contribution of this probe set-specific variability. Furthermore, we devised a formula that incorporates a pri

SUBMITTER: Budhraja V 

PROVIDER: S-EPMC288513 | biostudies-literature | 2003 Nov

REPOSITORIES: biostudies-literature