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» SIMAGE: simulation of DNA-microarray gene expression data
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BMCBI
2002
214views more  BMCBI 2002»
13 years 7 months ago
Automated modelling of signal transduction networks
Background: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ul...
Martin Steffen, Allegra Petti, John Aach, Patrik D...
CIBCB
2006
IEEE
13 years 11 months ago
Efficient Probe Selection in Microarray Design
Abstract-- The DNA microarray technology, originally developed to measure the level of gene expression, had become one of the most widely used tools in genomic study. Microarrays h...
Leszek Gasieniec, Cindy Y. Li, Paul Sant, Prudence...
BMCBI
2008
126views more  BMCBI 2008»
13 years 7 months ago
Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution
Background: In gene expression analysis, statistical tests for differential gene expression provide lists of candidate genes having, individually, a sufficiently low p-value. Howe...
Stefano Moretti, Danitsja van Leeuwen, Hans Gmuend...
ISBRA
2009
Springer
14 years 2 months ago
Practical Quality Assessment of Microarray Data by Simulation of Differential Gene Expression
There are many methods for assessing the quality of microarray data, but little guidance regarding what to do when defective data is identified. Depending on the scientific questio...
Brian E. Howard, Beate Sick, Steffen Heber
BMCBI
2010
97views more  BMCBI 2010»
13 years 5 months ago
Preprocessing of gene expression data by optimally robust estimators
Background: The preprocessing of gene expression data obtained from several platforms routinely includes the aggregation of multiple raw signal intensities to one expression value...
Matthias Kohl, Hans-Peter Deigner