Detecting Outlier Microarray Arrays by Correlation and Percentage of Outliers Spots
We developed a quality assurance (QA) tool, namely microarray outlier filter (MOF), and have applied it to our microarray datasets for the identification of problematic arrays. Our approach is based on the comparison of the arrays using the correlation coefficient and the number of outlier spots gen...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2006-01-01
|
| Series: | Cancer Informatics |
| Online Access: | https://doi.org/10.1177/117693510600200017 |