Accurate estimates of microarray target concentration from a simple sequence-independent Langmuir model.

ABSTRACT:

Background

Microarray technology is a commonly used tool for assessing global gene expression. Many models for estimation of target concentration based on observed microarray signal have been proposed, but, in general, these models have been complex and platform-dependent.

Principal findings

We introduce a universal Langmuir model for estimation of absolute target concentration from microarray experiments. We find that this sequence-independent model, characterized by only three free parameters, yields excellent predictions for four microarray platforms, including Affymetrix, Agilent, Illumina and a custom-printed microarray. The model also accurately predicts concentration for the MAQC data sets. This approach significantly reduces the computational complexity of quantitati

SUBMITTER: Gharaibeh RZ 

PROVIDER: S-EPMC3012684 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature