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» Clustering Genes Using Heterogeneous Data Sources
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CISIS
2008
IEEE
15 years 9 months ago
Processing Ontology Alignments with SPARQL
Solving problems raised by heterogeneous ontologies can be achieved by matching the ontologies and processing the resulting alignments. This is typical of data mediation in which ...
Jérôme Euzenat, Axel Polleres, Fran&c...
BMCBI
2008
200views more  BMCBI 2008»
15 years 3 months ago
Defining functional distances over Gene Ontology
Background: A fundamental problem when trying to define the functional relationships between proteins is the difficulty in quantifying functional similarities, even when well-stru...
Angela del Pozo, Florencio Pazos, Alfonso Valencia
ICPPW
2003
IEEE
15 years 8 months ago
Security Aspects of Wireless Heterogeneous Databases - Protocol, Performance, and Energy Analysis
Users have been demanding information “anytime, anywhere”. The notion of accessing diverse and autonomous information repositories with different APIs is not accepted. This ha...
Harshal Haridas, Ali R. Hurson, Yu Jiao
BMCBI
2004
128views more  BMCBI 2004»
15 years 3 months ago
Comparing transformation methods for DNA microarray data
Background: When DNA microarray data are used for gene clustering, genotype/phenotype correlation studies, or tissue classification the signal intensities are usually transformed ...
Helene H. Thygesen, Aeilko H. Zwinderman
BMCBI
2006
102views more  BMCBI 2006»
15 years 3 months ago
Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of
Background: The Thymidine kinase (Tk) mutants generated from the widely used L5178Y mouse lymphoma assay fall into two categories, small colony and large colony. Cells from the la...
Tao Han, Jianyong Wang, Weida Tong, Martha M. Moor...