20 search results - page 1 / 4 » Stratification bias in low signal microarray studies |
BMCBI
2007
13 years 5 months ago
2007
Background: When analysing microarray and other small sample size biological datasets, care is needed to avoid various biases. We analyse a form of bias, stratification bias, that...
BMCBI
2006
13 years 5 months ago
2006
Background: In a microarray experiment the difference in expression between genes on the same slide is up to 103 fold or more. At low expression, even a small error in the estimat...
BMCBI
2008
13 years 5 months ago
2008
Background: Normalization is essential in dual-labelled microarray data analysis to remove nonbiological variations and systematic biases. Many normalization methods have been use...
BMCBI
2008
13 years 5 months ago
2008
Background: Pathogen detection using DNA microarrays has the potential to become a fast and comprehensive diagnostics tool. However, since pathogen detection chips currently utili...
BMCBI
2006
13 years 5 months ago
2006
Background: Gene expression microarray data is notoriously subject to high signal variability. Moreover, unavoidable variation in the concentration of transcripts applied to micro...