Toward Integration of Biological Noise: Aggregation Effect in Microarray Data Analysis

Abstract

Aggregation effect in microarray data analysis distorts the correlations between gene expression levels and, in some sense, plays a role of technical noise. This aspect is especially important in network and association inference analyses.

However, it is possible to construct statistical estimators which take aggregation into account to generate -clean-covariance of expression levels. Based on this estimator, we provide a method to find gene pairs having essentially different correlation structure.

Keywords

• Toward
• Integration
• Biological
• Noise
• Aggregation
• Effect
• Microarray
• Analysis