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» Clustering Genes Using Heterogeneous Data Sources
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JBI
2004
171views Bioinformatics» more  JBI 2004»
14 years 10 days ago
Consensus Clustering and Functional Interpretation of Gene Expression Data
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
Paul Kellam, Stephen Swift, Allan Tucker, Veronica...
BMCBI
2007
116views more  BMCBI 2007»
13 years 11 months ago
Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement
Background: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data c...
Francisco R. Pinto, João A. Carriço,...
CIKM
2004
Springer
14 years 4 months ago
Organizing structured web sources by query schemas: a clustering approach
In the recent years, the Web has been rapidly “deepened” with the prevalence of databases online. On this deep Web, many sources are structured by providing structured query i...
Bin He, Tao Tao, Kevin Chen-Chuan Chang
BMCBI
2007
134views more  BMCBI 2007»
13 years 11 months ago
Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
NAR
2010
111views more  NAR 2010»
13 years 5 months ago
Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional pr
Babelomics is a response to the growing necessity of integrating and analyzing different types of genomic data in an environment that allows an easy functional interpretation of t...
Ignacio Medina, José Carbonell, Luis Pulido...