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BMCBI
2008
114views more  BMCBI 2008»
13 years 8 months ago
A visual analytics approach for understanding biclustering results from microarray data
Background: Microarray analysis is an important area of bioinformatics. In the last few years, biclustering has become one of the most popular methods for classifying data from mi...
Rodrigo Santamaría, Roberto Therón, ...
IV
2005
IEEE
136views Visualization» more  IV 2005»
14 years 2 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
GISCIENCE
2010
Springer
285views GIS» more  GISCIENCE 2010»
13 years 9 months ago
Visual Exploration of Eye Movement Data Using the Space-Time-Cube
Abstract. Eye movement recordings produce large quantities of spatiotemporal data, and are more and more frequently used as an aid to gain further insight into human thinking in us...
Xia Li, Arzu Çöltekin, Menno-Jan Kraak
TVCG
2010
147views more  TVCG 2010»
13 years 7 months ago
"behaviorism": a framework for dynamic data visualization
— While a number of information visualization software frameworks exist, creating new visualizations, especially those that involve novel visualization metaphors, interaction tec...
Angus Forbes, Tobias Höllerer, George Legrady
BMCBI
2005
112views more  BMCBI 2005»
13 years 8 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...