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» Clustering Genes Using Heterogeneous Data Sources
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DEXAW
2007
IEEE
128views Database» more  DEXAW 2007»
15 years 7 months ago
Sharing Data on the Grid using Ontologies and distributed SPARQL Queries
The vision of the Semantic Web is to make Web content machine-readable. To describe data, the Resource Description Framework has been extended with a schema-level and description ...
Andreas Langegger, Martin Blöchl, Wolfram W&o...
BMCBI
2008
158views more  BMCBI 2008»
15 years 3 months ago
Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent compo
Background: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and ...
Dominik Lutter, Peter Ugocsai, Margot Grandl, Evel...
SEMWEB
2004
Springer
15 years 8 months ago
An API for Ontology Alignment
Ontologies are seen as the solution to data heterogeneity on the web. However, the available ontologies are themselves source of heterogeneity. This can be overcome by aligning on...
Jérôme Euzenat
IPPS
2007
IEEE
15 years 9 months ago
Scalable Distributed Execution Environment for Large Data Visualization
To use heterogeneous and geographically distributed resources as a platform for parallel visualization is an intriguing topic of research. This is because of the immense potential...
Micah Beck, Huadong Liu, Jian Huang, Terry Moore
ISMB
1998
15 years 4 months ago
Automated Clustering and Assembly of Large EST Collections
The avMlability of large EST(Expressed Sequence Tag)databases has led to a revolution in the waynew genes are cloned. Difficulties arise, however,due to high error rates and redun...
David P. Yee, Darrell Conklin