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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2004
131views more  BMCBI 2004»
15 years 2 months ago
A web services choreography scenario for interoperating bioinformatics applications
Background: Very often genome-wide data analysis requires the interoperation of multiple databases and analytic tools. A large number of genome databases and bioinformatics applic...
Remko de Knikker, Youjun Guo, Jin-long Li, Albert ...
BIBE
2007
IEEE
153views Bioinformatics» more  BIBE 2007»
15 years 4 months ago
Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach
—DNA microarray technologies provide means for monitoring in the order of tens of thousands of gene expression levels quantitatively and simultaneously. However data generated in...
Juliette Blanchet, Matthieu Vignes
133
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ICDE
2010
IEEE
273views Database» more  ICDE 2010»
16 years 2 months ago
WikiAnalytics: Ad-hoc Querying of Highly Heterogeneous Structured Data
Searching and extracting meaningful information out of highly heterogeneous datasets is a hot topic that received a lot of attention. However, the existing solutions are based on e...
Andrey Balmin, Emiran Curtmola
BMCBI
2010
153views more  BMCBI 2010»
15 years 1 months ago
DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules
Background: Large microarray datasets have enabled gene regulation to be studied through coexpression analysis. While numerous methods have been developed for identifying differen...
Bruno M. Tesson, Rainer Breitling, Ritsert C. Jans...
BMCBI
2006
131views more  BMCBI 2006»
15 years 3 months ago
Hybridization interactions between probesets in short oligo microarrays lead to spurious correlations
Background: Microarrays measure the binding of nucleotide sequences to a set of sequence specific probes. This information is combined with annotation specifying the relationship ...
Michal J. Okoniewski, Crispin J. Miller