From features to expression: High-density oligonucleotide array analysis revisited

Thumbnail Image

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

One of the most popular tools for large scale gene expression studies are high-density oligonucleotide (GeneChip(R)) arrays. These currently have 16-20 small probe cells (``features'') for evaluating the transcript abundance of each gene. In addition, each probe is accompanied by a mismatched probe designed as a control for non-specificity. An algorithm is presented to compute comparative expression levels from the intensities of the individual features, based on a statistical study of their distribution. Interestingly, MM probes need not be included in the analysis. We show that our algorithm improves significantly upon the current standard and leads to a substantially larger number of genes brought above the noise floor for further analysis.
9 pages, 7 figures

Keywords

Biological Physics, Data Analysis, Statistics and Probability, Quantitative Biology

Citation

URI

http://salesiana.dossiersoluciones.com/handle/123456789/83985

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/physics/0102010
 http://arxiv.org/abs/physics/0102010

Collections

arXiv