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BMCBI
2005
112views more  BMCBI 2005»
15 years 7 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
CSB
2005
IEEE
206views Bioinformatics» more  CSB 2005»
16 years 1 months ago
Bioinformatic Insights from Metagenomics through Visualization
Cutting-edge biological and bioinformatics research seeks a systems perspective through the analysis of multiple types of high-throughput and other experimental data for the same ...
Susan L. Havre, Bobbie-Jo M. Webb-Robertson, Anuj ...
WSCG
2003
151views more  WSCG 2003»
15 years 9 months ago
Large Model Visualization: Techniques and Applications
The visual representation of complex data has always been a major motivation for computer graphics. However, there have always been computer graphics scenes which were too complex...
Dirk Bartz
GFKL
2004
Springer
135views Data Mining» more  GFKL 2004»
16 years 1 months ago
KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results
In this work we introduce a method for classification and visualization. In contrast to simultaneous methods like e.g. Kohonen SOM this new approach, called KMC/EDAM, runs through...
Nils Raabe, Karsten Luebke, Claus Weihs
INFOVIS
2002
IEEE
16 years 17 days ago
A Hybrid Layout Algorithm for Sub-Quadratic Multidimensional Scaling
Many clustering and layout techniques have been used for structuring and visualising complex data. This paper is inspired by a number of such contemporary techniques and presents ...
Alistair Morrison, Greg Ross, Matthew Chalmers