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A non-parametric approach for identifying differentially expressed genes in factorial microarray experiments
| Content Provider | Paperity |
|---|---|
| Author | Vach, Werner Kassem, Moustapha Tan, Qihua Basem, M. Abdallah Torben, A. Kruse Dahlgaard, Jesper |
| Abstract | We introduce a non-parametric approach using bootstrap-assisted correspondence analysis to identify and validate genes that are differentially expressed in factorial microarray experiments. Model comparison showed that although both parametric and non-parametric methods capture the different profiles in the data, our method is less inclined to false positive results due to dimension reduction in data analysis. |
| File Format | HTM / HTML |
| ISSN | 14656906 |
| Journal | Genome Biology |
| Volume Number | 6 |
| Language | English |
| Publisher Date | 2005-03-10 |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
