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JBI
2004
171views Bioinformatics» more  JBI 2004»
15 years 6 months 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
2008
117views more  BMCBI 2008»
15 years 5 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...
147
Voted
BMCBI
2007
134views more  BMCBI 2007»
15 years 5 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...
RECOMB
2009
Springer
15 years 12 months ago
Reconstructing Histories of Complex Gene Clusters on a Phylogeny
Abstract. Clusters of genes that have evolved by repeated segmental duplication present difficult challenges throughout genomic analysis, from sequence assembly to functional analy...
Tomás Vinar, Brona Brejová, Giltae S...
IV
2005
IEEE
136views Visualization» more  IV 2005»
15 years 10 months ago
Improved Visual Clustering of Large Multi-dimensional Data Sets
Lowering computational cost of data analysis and visualization techniques is an essential step towards including the user in the visualization. In this paper we present an improve...
Eduardo Tejada, Rosane Minghim