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» Using Bayesian networks to analyze expression data
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BMCBI
2008
96views more  BMCBI 2008»
14 years 10 months ago
Use of normalization methods for analysis of microarrays containing a high degree of gene effects
Background: High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these ...
Terri T. Ni, William J. Lemon, Yu Shyr, Tao P. Zho...
BMCBI
2010
181views more  BMCBI 2010»
14 years 10 months ago
Intensity dependent estimation of noise in microarrays improves detection of differentially expressed genes
Background: In many microarray experiments, analysis is severely hindered by a major difficulty: the small number of samples for which expression data has been measured. When one ...
Amit Zeisel, Amnon Amir, Wolfgang J. Köstler,...
BMCBI
2006
169views more  BMCBI 2006»
14 years 10 months ago
Finding biological process modifications in cancer tissues by mining gene expression correlations
Background: Through the use of DNA microarrays it is now possible to obtain quantitative measurements of the expression of thousands of genes from a biological sample. This techno...
Giacomo Gamberoni, Sergio Storari, Stefano Volinia
SEMWEB
2005
Springer
15 years 3 months ago
Modeling Degrees of Conceptual Overlap in Semantic Web Ontologies
Information retrieval systems have to deal with uncertain knowledge and query results should reflect this uncertainty in some manner. However, Semantic Web ontologies are based on...
Markus Holi, Eero Hyvönen
DLOG
2008
15 years 9 days ago
Taming the Infinite Chase: Query Answering under Expressive Relational Constraints
Answering queries posed over knowledge bases is a central problem in knowledge representation and database theory. In databases, query containment is one of the important query op...
Andrea Calì, Georg Gottlob, Michael Kifer