Correspondence analysis applied to microarray data.

@article{Fellenberg2001CorrespondenceAA,
  title={Correspondence analysis applied to microarray data.},
  author={Kurt Fellenberg and Nicole C. Hauser and Benedikt Brors and Albert Neutzner and Jvrg D Hoheisel and Martin Vingron},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2001},
  volume={98 19},
  pages={10781-6}
}
Correspondence analysis is an explorative computational method for the study of associations between variables. Much like principal component analysis, it displays a low-dimensional projection of the data, e.g., into a plane. It does this, though, for two variables simultaneously, thus revealing associations between them. Here, we demonstrate the applicability of correspondence analysis to and high value for the analysis of microarray data, displaying associations between genes and experiments… CONTINUE READING
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Correspondence Analysis in Practice

  • M. J. Greenacre
  • (Academic, London),
  • 1993

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