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EVOW
2006
Springer
13 years 9 months ago
Hierarchical Clustering, Languages and Cancer
In this paper, we introduce a novel objective function for the hierarchical clustering of data from distance matrices, a very relevant task in Bioinformatics. To test the robustnes...
Pritha Mahata, Wagner Costa, Carlos Cotta, Pablo M...
BMCBI
2008
122views more  BMCBI 2008»
13 years 5 months ago
Reconstructing networks of pathways via significance analysis of their intersections
Background: Significance analysis at single gene level may suffer from the limited number of samples and experimental noise that can severely limit the power of the chosen statist...
Mirko Francesconi, Daniel Remondini, Nicola Nerett...
BMCBI
2004
211views more  BMCBI 2004»
13 years 5 months ago
GenomeViz: visualizing microbial genomes
Background: An increasing number of microbial genomes are being sequenced and deposited in public databases. In addition, several closely related strains are also being sequenced ...
Rohit Ghai, Torsten Hain, Trinad Chakraborty
BMCBI
2010
147views more  BMCBI 2010»
13 years 5 months ago
Indirect two-sided relative ranking: a robust similarity measure for gene expression data
Background: There is a large amount of gene expression data that exists in the public domain. This data has been generated under a variety of experimental conditions. Unfortunatel...
Louis Licamele, Lise Getoor
BMCBI
2004
87views more  BMCBI 2004»
13 years 5 months ago
Selection of informative clusters from hierarchical cluster tree with gene classes
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
Petri Törönen