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» Clustering Genes Using Heterogeneous Data Sources
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ICCS
2005
Springer
15 years 8 months ago
Querying a Bioinformatic Data Sources Registry with Concept Lattices
Abstract Bioinformatic data sources available on the web are multiple and heterogenous. The lack of documentation and the difficulty of interaction with these data banks require us...
Nizar Messai, Marie-Dominique Devignes, Amedeo Nap...
VLDB
1997
ACM
117views Database» more  VLDB 1997»
15 years 7 months ago
Optimizing Queries Across Diverse Data Sources
Businesses today need to interrelate data stored in diverse systems with differing capabilities, ideally via a single high-level query interface. We present the design of a query ...
Laura M. Haas, Donald Kossmann, Edward L. Wimmers,...
ISBRA
2007
Springer
15 years 9 months ago
Discovering Relations Among GO-Annotated Clusters by Graph Kernel Methods
The biological interpretation of large-scale gene expression data is one of the challenges in current bioinformatics. The state-of-theart approach is to perform clustering and then...
Italo Zoppis, Daniele Merico, Marco Antoniotti, Bu...
ICA
2007
Springer
15 years 6 months ago
Underdetermined Source Separation Using Mixtures of Warped Laplacians
In a previous work, the authors have introduced a Mixture of Laplacians model in order to cluster the observed data into the sound sources that exist in an underdetermined two-sens...
Nikolaos Mitianoudis, Tania Stathaki
BMCBI
2006
144views more  BMCBI 2006»
15 years 3 months ago
More robust detection of motifs in coexpressed genes by using phylogenetic information
Background: Several motif detection algorithms have been developed to discover overrepresented motifs in sets of coexpressed genes. However, in a noisy gene list, the number of ge...
Pieter Monsieurs, Gert Thijs, Abeer A. Fadda, Sigr...