Blind Source Separation and the Analysis of Microarray Data

  title={Blind Source Separation and the Analysis of Microarray Data},
  author={P. Chiappetta and Marie-Christine Roubaud and Bruno Torr{\'e}sani},
  journal={Journal of computational biology : a journal of computational molecular cell biology},
  volume={11 6},
We develop an approach for the exploratory analysis of gene expression data, based upon blind source separation techniques. This approach exploits higher-order statistics to identify a linear model for (logarithms of) expression profiles, described as linear combinations of "independent sources." As a result, it yields "elementary expression patterns" (the "sources"), which may be interpreted as potential regulation pathways. Further analysis of the so-obtained sources show that they are… CONTINUE READING
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