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NAR
2002
138views more  NAR 2002»
13 years 7 months ago
The KEGG databases at GenomeNet
The Kyoto Encyclopedia of Genes and Genomes (KEGG) is the primary database resource of the Japanese GenomeNet service (http://www.genome.ad.jp/) for understanding higher order fun...
Minoru Kanehisa, Susumu Goto, Shuichi Kawashima, A...
BMCBI
2006
107views more  BMCBI 2006»
13 years 8 months ago
Simplifying gene trees for easier comprehension
Background: In the genomic age, gene trees may contain large amounts of data making them hard to read and understand. Therefore, an automated simplification is important. Results:...
Paul-Ludwig Lott, Marvin Mundry, Christoph Sassenb...
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
13 years 9 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
BMCBI
2010
171views more  BMCBI 2010»
13 years 8 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
14 years 2 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton