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» Clustering Genes Using Heterogeneous Data Sources
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ICDM
2009
IEEE
171views Data Mining» more  ICDM 2009»
15 years 24 days ago
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janss...
BMCBI
2005
113views more  BMCBI 2005»
15 years 2 months ago
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks
Background: Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression display incr...
Cecily J. Wolfe, Isaac S. Kohane, Atul J. Butte
BMCBI
2006
151views more  BMCBI 2006»
15 years 3 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman
LREC
2008
124views Education» more  LREC 2008»
15 years 4 months ago
Clustering Related Terms with Definitions
It is a challenging task to match similar or related terms/expressions in NLP and Text Mining applications. Two typical areas in need for such work are terminology and ontology co...
Scott Songlin Piao, John McNaught, Sophia Ananiado...
DKE
2007
115views more  DKE 2007»
15 years 3 months ago
An improved methodology on information distillation by mining program source code
This paper presents a methodology for knowledge acquisition from source code. We use data mining to support semiautomated software maintenance and comprehension and provide practi...
Yiannis Kanellopoulos, Christos Makris, Christos T...