articleBioinformaticsJan 1, 2002BRONZE OA

Genesis: cluster analysis of microarray data

Graz University of Technology

PubMed
Indexed incrossrefdoajpubmed

Abstract

A versatile, platform independent and easy to use Java suite for large-scale gene expression analysis was developed. Genesis integrates various tools for microarray data analysis such as filters, normalization and visualization tools, distance measures as well as common clustering algorithms including hierarchical clustering, self-organizing maps, k-means, principal component analysis, and support vector machines. The results of the clustering are transparent across all implemented methods and enable the analysis of the outcome of different algorithms and parameters. Additionally, mapping of gene expression data onto chromosomal sequences was implemented to enhance promoter analysis and investigation of…

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1,802
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FWCI
13.34
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100%
References
6
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Authors

3

Topics & keywords

Keywords
  • Cluster analysis
  • Normalization (sociology)
  • Hierarchical clustering
  • Computer science
  • Data mining
  • Principal component analysis
  • Visualization
  • Java
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