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BMCBI
2006
74views more  BMCBI 2006»
13 years 6 months ago
Effects of filtering by Present call on analysis of microarray experiments
Background: Affymetrix GeneChips
Jeanette N. McClintick, Howard J. Edenberg
BMCBI
2004
106views more  BMCBI 2004»
13 years 6 months ago
Spotting effect in microarray experiments
Background: Microarray data must be normalized because they suffer from multiple biases. We have identified a source of spatial experimental variability that significantly affects...
Tristan Mary-Huard, Jean-Jacques Daudin, Sté...
ICPR
2008
IEEE
14 years 17 days ago
Microarray image analysis based on an evolutionary approach
1 Biological conclusions reached during microarray experiments can be greatly affected by human intervention, which is currently required in microarray image analysis. Therefore, a...
Eleni Zacharia, Dimitris Maroulis
JIPS
2007
134views more  JIPS 2007»
13 years 6 months ago
An Efficient Functional Analysis Method for Micro-array Data Using Gene Ontology
: Microarray data includes tens of thousands of gene expressions simultaneously, so it can be effectively used in identifying the phenotypes of diseases. However, the retrieval of ...
Dong-wan Hong, Jong-keun Lee, Sung-soo Park, Sang-...
BMCBI
2010
193views more  BMCBI 2010»
13 years 6 months ago
Probe set filtering increases correlation between Affymetrix GeneChip and qRT-PCR expression measurements
Background: Affymetrix GeneChip microarrays are popular platforms for expression profiling in two types of studies: detection of differential expression computed by p-values of t-...
Jakub Mieczkowski, Magdalena E. Tyburczy, Michal D...