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ALMOB
2008
112views more  ALMOB 2008»
13 years 5 months ago
Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps
Background: One of the goals of global metabolomic analysis is to identify metabolic markers that are hidden within a large background of data originating from high-throughput ana...
Peter Meinicke, Thomas Lingner, Alexander Kaever, ...
BMCBI
2005
112views more  BMCBI 2005»
13 years 5 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...
IVC
2002
192views more  IVC 2002»
13 years 5 months ago
Understanding visual behaviour
Modelling events is one of the key problems in dynamic scene analysis when salient and autonomous visual changes occuring in a scene need to be characterised effectively as meanin...
Shaogang Gong, Hilary Buxton
APVIS
2010
13 years 3 months ago
Interactive local clustering operations for high dimensional data in parallel coordinates
In this paper, we propose an approach of clustering data in parallel coordinates through interactive local operations. Different from many other methods in which clustering is glo...
Peihong Guo, He Xiao, Zuchao Wang, Xiaoru Yuan
BMCBI
2008
121views more  BMCBI 2008»
13 years 5 months ago
Modularization of biochemical networks based on classification of Petri net t-invariants
Background: Structural analysis of biochemical networks is a growing field in bioinformatics and systems biology. The availability of an increasing amount of biological data from ...
Eva Grafahrend-Belau, Falk Schreiber, Monika Heine...