A power law global error model for the identification of differentially expressed genes in microarray data
<p>Abstract</p> <p>Background</p> <p>High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiology, disease or intervention. Methods for the identification of thes...
| Автори: | , , , , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
BMC
2004-12-01
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| Серія: | BMC Bioinformatics |
| Онлайн доступ: | http://www.biomedcentral.com/1471-2105/5/203 |