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» Clustering Genes Using Heterogeneous Data Sources
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CIKM
2010
Springer
15 years 1 months ago
Query optimization for ontology-based information integration
In recent years, there has been an explosion of publicly available RDF and OWL data sources. In order to effectively and quickly answer queries in such an environment, we present...
Yingjie Li, Jeff Heflin
BMCBI
2007
148views more  BMCBI 2007»
15 years 3 months ago
WeederH: an algorithm for finding conserved regulatory motifs and regions in homologous sequences
Background: This work addresses the problem of detecting conserved transcription factor binding sites and in general regulatory regions through the analysis of sequences from homo...
Giulio Pavesi, Federico Zambelli, Graziano Pesole
BMCBI
2011
14 years 6 months ago
MINE: Module Identification in NEtworks
Background: Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of function...
Kahn Rhrissorrakrai, Kristin C. Gunsalus
SAC
2008
ACM
15 years 2 months ago
Efficient concept clustering for ontology learning using an event life cycle on the web
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Sangsoo Sung, Seokkyung Chung, Dennis McLeod
INFOCOM
2000
IEEE
15 years 7 months ago
RMX: Reliable Multicast for Heterogeneous Networks
—Although IP Multicast is an effective network primitive for best-effort, large-scale, multi-point communication, many multicast applications such as shared whiteboards, multi-pl...
Yatin Chawathe, Steven McCanne, Eric A. Brewer