Correspondence analysis applied to microarray data

@article{Fellenberg2001CorrespondenceAA,
  title={Correspondence analysis applied to microarray data},
  author={K. Fellenberg and N. C. Hauser and B. Brors and A. Neutzner and J. D. Hoheisel and M. Vingron},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2001},
  volume={98},
  pages={10781 - 10786}
}
  • K. Fellenberg, N. C. Hauser, +3 authors M. Vingron
  • Published 2001
  • Medicine, Biology
  • Proceedings of the National Academy of Sciences of the United States of America
  • 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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