Comparisons of Gene Expression Indexes for Oligonucleotide Arrays

10.6339/JDS.2007.05(3).334

Mounir Aout

Gene expression ； model-based estimation ； oligonucleotide arrays

Journal of Data Science

5卷3期（2007 / 07 / 01）

425 - 439

英文

High density oligonucleotide arrays have become a standard research tool to monitor the expression of thousands of genes simultaneously. Affymetrix GeneChip arrays are the most popular. They use short oligonucleotides to probe for genes in an RNA sample. However, important challenges remain in estimating expression level from raw hybridization intensities on the array. In this paper, we deal with the problem of estimating gene expression based on a statistical model. The present method is like Li and Wong model (2001a), but assumes more generality. More precisely, we show how the model introduced by Li and Wong can be generalized to provide new measure of gene expression. Moreover, we provide a comparison between these two models.