Correction of Technical Bias in Clinical Microarray Data Improves Concordance with Known Biological Information

Overview

Journal Genome Biol

Specialties Biology
Genetics

Date 2008 Feb 6

PMID 18248669

Citations 37

Authors

Aron C Eklund

Zoltan Szallasi

Affiliations

Soon will be listed here.

Abstract

The performance of gene expression microarrays has been well characterized using controlled reference samples, but the performance on clinical samples remains less clear. We identified sources of technical bias affecting many genes in concert, thus causing spurious correlations in clinical data sets and false associations between genes and clinical variables. We developed a method to correct for technical bias in clinical microarray data, which increased concordance with known biological relationships in multiple data sets.

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