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BMCBI
2005
112views more  BMCBI 2005»
15 years 6 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 18 days 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 8 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 10 days 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
15 years 12 months 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