Statistical methods of background correction for Illumina BeadArray data.

ABSTRACT:

Motivation

Advances in technology have made different microarray platforms available. Among the many, Illumina BeadArrays are relatively new and have captured significant market share. With BeadArray technology, high data quality is generated from low sample input at reduced cost. However, the analysis methods for Illumina BeadArrays are far behind those for Affymetrix oligonucleotide arrays, and so need to be improved.

Results

In this article, we consider the problem of background correction for BeadArray data. One distinct feature of BeadArrays is that for each array, the noise is controlled by over 1000 bead types conjugated with non-specific oligonucleotide sequences. We extend the robust multi-array analysis (RMA) background correction model to incorporate the informati

SUBMITTER: Xie Y 

PROVIDER: S-EPMC2654805 | biostudies-literature | 2009 Mar

REPOSITORIES: biostudies-literature