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ESANN
2006
13 years 5 months ago
Visualizing gene interaction graphs with local multidimensional scaling
Several bioinformatics data sets are naturally represented as graphs, for instance gene regulation, metabolic pathways, and proteinprotein interactions. The graphs are often large ...
Jarkko Venna, Samuel Kaski
NN
2006
Springer
104views Neural Networks» more  NN 2006»
13 years 4 months ago
Local multidimensional scaling
Several bioinformatics data sets are naturally represented as graphs, for instance gene regulation, metabolic pathways, and proteinprotein interactions. The graphs are often large ...
Jarkko Venna, Samuel Kaski
BMCBI
2006
178views more  BMCBI 2006»
13 years 4 months ago
GOLEM: an interactive graph-based gene-ontology navigation and analysis tool
Background: The Gene Ontology has become an extremely useful tool for the analysis of genomic data and structuring of biological knowledge. Several excellent software tools for na...
Rachel S. G. Sealfon, Matthew A. Hibbs, Curtis Hut...
BMCBI
2007
176views more  BMCBI 2007»
13 years 4 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...
IV
2007
IEEE
160views Visualization» more  IV 2007»
13 years 10 months ago
Targeted Projection Pursuit for Interactive Exploration of High- Dimensional Data Sets
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
Joe Faith