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» Two-phase clustering strategy for gene expression data sets
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BMCBI
2006
138views more  BMCBI 2006»
14 years 9 months ago
Determination of strongly overlapping signaling activity from microarray data
Background: As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of...
Ghislain Bidaut, Karsten Suhre, Jean-Michel Claver...
KDD
2005
ACM
91views Data Mining» more  KDD 2005»
15 years 10 months ago
On mining cross-graph quasi-cliques
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
Jian Pei, Daxin Jiang, Aidong Zhang
DEXAW
2004
IEEE
167views Database» more  DEXAW 2004»
15 years 1 months ago
BioMap: Gene Family based Integration of Heterogeneous Biological Databases Using AutoMed Metadata
This paper presents an extensible architecture that can be used to support the integration of biological data sets. Biological research frequently requires this kind of synthesis....
Michael Maibaum, Galia Rimon, Christine A. Orengo,...
ISBRA
2007
Springer
15 years 3 months ago
GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
Xubo Fei, Shiyong Lu, Horia F. Pop, Lily R. Liang
BMCBI
2010
113views more  BMCBI 2010»
14 years 9 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...