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» Visual Exploration of Genomic Data
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SSDBM
2007
IEEE
110views Database» more  SSDBM 2007»
15 years 10 months ago
On Exploring Complex Relationships of Correlation Clusters
In high dimensional data, clusters often only exist in arbitrarily oriented subspaces of the feature space. In addition, these so-called correlation clusters may have complex rela...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
BMCBI
2004
150views more  BMCBI 2004»
15 years 4 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
159
Voted
BMCBI
2010
193views more  BMCBI 2010»
14 years 11 months ago
Mayday - integrative analytics for expression data
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
Florian Battke, Stephan Symons, Kay Nieselt
TVCG
2012
185views Hardware» more  TVCG 2012»
13 years 6 months ago
Interest Driven Navigation in Visualization
—This paper describes a new method to explore and discover within a large data set. We apply techniques from preference elicitation to automatically identify data elements that a...
Christopher G. Healey, Brent M. Dennis
VISUALIZATION
1997
IEEE
15 years 8 months ago
Application-controlled demand paging for out-of-core visualization
In the area of scientific visualization, input data sets are often very large. In visualization of Computational Fluid Dynamics (CFD) in particular, input data sets today can surp...
Michael Cox, David Ellsworth