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» Challenges in Visual Data Analysis
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BMCBI
2002
195views more  BMCBI 2002»
13 years 9 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...
KDD
2006
ACM
117views Data Mining» more  KDD 2006»
14 years 9 months ago
Efficient multidimensional data representations based on multiple correspondence analysis
In the On Line Analytical Processing (OLAP) context, exploration of huge and sparse data cubes is a tedious task which does not always lead to efficient results. In this paper, we...
Omar Boussaid, Riadh Ben Messaoud, Sabine Loudcher...
ISMB
2000
13 years 10 months ago
Integrative Analysis of Protein Interaction Data
We have developed a method for the integrative analysis of protein interaction data. It comprises clustering, visualization and data integration components. The method is generall...
Matthias Fellenberg, Kaj Albermann, Alfred Zollner...
BMCBI
2006
139views more  BMCBI 2006»
13 years 9 months ago
Integrated functional visualization of eukaryotic genomes
Background: Increasing amounts of data from large scale whole genome analysis efforts demands convenient tools for manipulation, visualization and investigation. Whole genome plot...
Rohit Ghai, Hannes Lindemann, Trinad Chakraborty
VIS
2007
IEEE
86views Visualization» more  VIS 2007»
14 years 10 months ago
Illustrative Deformation for Data Exploration
Abstract--Much of the visualization research has focused on improving the rendering quality and speed, and enhancing the perceptibility of features in the data. Recently, significa...
Carlos Correa, Deborah Silver, Min Chen