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» Gene Expression Data Management: A Case Study
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BMCBI
2006
123views more  BMCBI 2006»
14 years 9 months ago
Characterizing disease states from topological properties of transcriptional regulatory networks
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
David Tuck, Harriet Kluger, Yuval Kluger
CBMS
2005
IEEE
15 years 3 months ago
An Ontology-Driven Clustering Method for Supporting Gene Expression Analysis
The Gene Ontology (GO) is an important knowledge resource for biologists and bioinformaticians. This paper explores the integration of similarity information derived from GO into ...
Haiying Wang, Francisco Azuaje, Olivier Bodenreide...
BIBE
2007
IEEE
121views Bioinformatics» more  BIBE 2007»
15 years 4 months ago
Identifying Genomic Regulators of Set-Wise Co-Expression
The genetical genomics approach has been used to study the genetic basis of variation in gene expression, where putative transcriptional regulators of genes are identified via gene...
Jung Hoon Woo, Tian Zheng, Ju Han Kim
82
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BMCBI
2008
125views more  BMCBI 2008»
14 years 9 months ago
MAID : An effect size based model for microarray data integration across laboratories and platforms
Background: Gene expression profiling has the potential to unravel molecular mechanisms behind gene regulation and identify gene targets for therapeutic interventions. As microarr...
Ivan Borozan, Limin Chen, Bryan Paeper, Jenny E. H...
ICASSP
2009
IEEE
15 years 4 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