From features to expression: High-density oligonucleotide array analysis revisited
| dc.creator | Naef, Felix | |
| dc.creator | Lim, Daniel A. | |
| dc.creator | Patil, Nila | |
| dc.creator | Magnasco, Marcelo O. | |
| dc.date | 2001-02-05 | |
| dc.date | 2001-02-21 | |
| dc.date.accessioned | 2026-07-07T05:45:25Z | |
| dc.date.available | 2026-07-07T05:45:25Z | |
| dc.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. | |
| dc.description | 9 pages, 7 figures | |
| dc.identifier | https://arxiv.org/abs/physics/0102010 | |
| dc.identifier | http://arxiv.org/abs/physics/0102010 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/83985 | |
| dc.subject | Biological Physics | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.subject | Quantitative Biology | |
| dc.title | From features to expression: High-density oligonucleotide array analysis revisited | |
| dc.type | text |