119 search results - page 6 / 24 » Data-adaptive test statistics for microarray data |
BMCBI
2010
13 years 7 months ago
2010
Background: Much of the public access cancer microarray data is asymmetric, belonging to datasets containing no samples from normal tissue. Asymmetric data cannot be used in stand...
JMLR
2010
13 years 5 months ago
2010
We consider here how to tell whether a latent variable that has been estimated in a multivariate regression context might be real. Often a followup investigation will find a real...
BMCBI
2006
13 years 7 months ago
2006
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...
BMCBI
2010
13 years 7 months ago
2010
Background: In a time-course microarray experiment, the expression level for each gene is observed across a number of time-points in order to characterize the temporal trajectorie...
BMCBI
2006
13 years 7 months ago
2006
Background: Gene Ontology (GO) terms are often used to assess the results of microarray experiments. The most common way to do this is to perform Fisher's exact tests to find...