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JBI
2002
13 years 8 months ago
Revising regulatory networks: from expression data to linear causal models
Discovering the complex regulatory networks that govern mRNA expression is an important but difficult problem. Many current approaches use only expression data from microarrays to...
Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pa...
BMCBI
2007
154views more  BMCBI 2007»
13 years 8 months ago
h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
Background: An ever increasing number of techniques are being used to find genes with similar profiles from microarray studies. Visualization of gene expression profiles can aid t...
Yvonne E. Pittelkow, Susan R. Wilson
BIB
2007
59views more  BIB 2007»
13 years 8 months ago
Statistically designing microarrays and microarray experiments to enhance sensitivity and specificity
Gene expression signatures from microarray experiments promise to provide important prognostic tools for predicting disease outcome or response to treatment. A number of microarra...
Jason C. Hsu, Jane Chang, Tao Wang, Eiríkur...
NIPS
2008
13 years 10 months ago
A mixture model for the evolution of gene expression in non-homogeneous datasets
We address the challenge of assessing conservation of gene expression in complex, non-homogeneous datasets. Recent studies have demonstrated the success of probabilistic models in...
Gerald Quon, Yee Whye Teh, Esther Chan, Timothy R....
BMCBI
2006
157views more  BMCBI 2006»
13 years 8 months ago
Determination of the minimum number of microarray experiments for discovery of gene expression patterns
Background: One type of DNA microarray experiment is discovery of gene expression patterns for a cell line undergoing a biological process over a series of time points. Two import...
Fang-Xiang Wu, W. J. Zhang, Anthony J. Kusalik