210 search results - page 8 / 42 » Integrative missing value estimation for microarray data |
BMCBI
2004
13 years 6 months ago
2004
Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
AMDO
2008
Springer
13 years 9 months ago
2008
Springer
This paper addresses the problem of real-time location of the joints or centres of rotation (CoR) of human skeletons in the presence of missing data. The data is assumed to be 3d m...
ICDM
2005
IEEE
14 years 18 days ago
2005
IEEE
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
BMCBI
2010
13 years 7 months ago
2010
Background: Microarray technology is a high-throughput method for measuring the expression levels of thousand of genes simultaneously. The observed intensities combine a non-speci...
NIPS
2008
13 years 8 months ago
2008
In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...