Kernel density weighted loess normalization improves the performance of detection within asymmetrical data
<p>Abstract</p> <p>Background</p> <p>Normalization of gene expression data has been studied for many years and various strategies have been formulated to deal with various types of data. Most normalization algorithms rely on the assumption that the number of up-regulate...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2011-06-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/12/222 |