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» Clustering Genes Using Heterogeneous Data Sources
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SDM
2011
SIAM
243views Data Mining» more  SDM 2011»
14 years 2 months ago
Data Integration via Constrained Clustering: An Application to Enzyme Clustering
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
Elisa Boari de Lima, Raquel Cardoso de Melo Minard...
NAR
2008
175views more  NAR 2008»
14 years 11 months ago
Onto-CC: a web server for identifying Gene Ontology conceptual clusters
The Gene Ontology (GO) vocabulary has been extensively explored to analyze the functions of coexpressed genes. However, despite its extended use in Biology and Medical Sciences, t...
Rocío Romero-Záliz, Coral del Val, J...
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
15 years 4 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
BMCBI
2008
166views more  BMCBI 2008»
14 years 12 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
NAR
2000
117views more  NAR 2000»
14 years 11 months ago
The TIGR Gene Indices: reconstruction and representation of expressed gene sequences
Expressed sequence tags (ESTs) have provided a first glimpse of the collection of transcribed sequences in a variety of organisms. However, a careful analysis of this sequence dat...
John Quackenbush, Feng Liang, Ingeborg Holt, Geo P...