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» Clustering Genes Using Heterogeneous Data Sources
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CORR
2010
Springer
111views Education» more  CORR 2010»
15 years 3 months ago
Analysis Of Cancer Omics Data In A Semantic Web Framework
Our work concerns the elucidation of the cancer (epi)genome, transcriptome and proteome to better understand the complex interplay between a cancer cell's molecular state and ...
Matthew Holford, James P. McCusker, Kei-Hoi Cheung...
DKE
1999
118views more  DKE 1999»
15 years 5 months ago
Designing Data Warehouses
A Data Warehouse DW is a database that collects and stores data from multiple remote and heterogeneous information sources. When a query is posed, it is evaluated locally, without...
Dimitri Theodoratos, Timos K. Sellis
BMCBI
2006
130views more  BMCBI 2006»
15 years 6 months ago
CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
Kevin A. Greer, Matthew R. McReynolds, Heddwen L. ...
BMCBI
2005
116views more  BMCBI 2005»
15 years 6 months ago
Can Zipf's law be adapted to normalize microarrays?
Background: Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for ...
Timothy Lu, Christine M. Costello, Peter J. P. Cro...
ICDE
2007
IEEE
126views Database» more  ICDE 2007»
16 years 7 months ago
Organizing Hidden-Web Databases by Clustering Visible Web Documents
In this paper we address the problem of organizing hidden-Web databases. Given a heterogeneous set of Web forms that serve as entry points to hidden-Web databases, our goal is to ...
Luciano Barbosa, Juliana Freire, Altigran Soares d...