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» An Expressive Extension of TLC
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AAAI
2006
14 years 11 days ago
Characterizing Data Complexity for Conjunctive Query Answering in Expressive Description Logics
Description Logics (DLs) are the formal foundations of the standard web ontology languages OWL-DL and OWL-Lite. In the Semantic Web and other domains, ontologies are increasingly ...
Magdalena Ortiz, Diego Calvanese, Thomas Eiter
BMCBI
2006
148views more  BMCBI 2006»
13 years 11 months ago
Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of m
Background: The identification of biologically interesting genes in a temporal expression profiling dataset is challenging and complicated by high levels of experimental noise. Mo...
Veronica Vinciotti, Xiaohui Liu, Rolf Turk, Emile ...
BMCBI
2005
167views more  BMCBI 2005»
13 years 11 months ago
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
Patrick Warnat, Roland Eils, Benedikt Brors
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 11 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
WWW
2010
ACM
14 years 6 months ago
Expressive auctions for externalities in online advertising
When online ads are shown together, they compete for user attention and conversions, imposing negative externalities on each other. While the competition for user attention in spo...
Arpita Ghosh, Amin Sayedi