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» Robust cross-race gene expression analysis
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BMCBI
2006
121views more  BMCBI 2006»
14 years 10 months ago
Robust computational reconstitution - a new method for the comparative analysis of gene expression in tissues and isolated cell
Background: Biological tissues consist of various cell types that differentially contribute to physiological and pathophysiological processes. Determining and analyzing cell type-...
Martin Hoffmann, Dirk Pohlers, Dirk Koczan, Hans-J...
BMCBI
2010
100views more  BMCBI 2010»
14 years 10 months ago
A robust method for estimating gene expression states using Affymetrix microarray probe level data
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...
Megu Ohtaki, Keiko Otani, Keiko Hiyama, Naomi Kame...
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ICASSP
2009
IEEE
15 years 5 months ago
Robust cross-race gene expression analysis
This paper develops a Bayesian network (BN) predictor to profile cross-race gene expression data. Cross-race studies face more data variability than single-lab studies. Our desig...
Hsun-Hsien Chang, Marco Ramoni
BMCBI
2007
103views more  BMCBI 2007»
14 years 10 months ago
Cross platform microarray analysis for robust identification of differentially expressed genes
Roberta Bosotti, Giuseppe Locatelli, Sandra Healy,...
BMCBI
2011
14 years 2 months ago
Gene set analysis for longitudinal gene expression data
Background: Gene set analysis (GSA) has become a successful tool to interpret gene expression profiles in terms of biological functions, molecular pathways, or genomic locations. ...
Ke Zhang, Haiyan Wang, Arne C. Bathke, Solomon W. ...