Complementary DNA Microarray Image Processing Based on the Fuzzy Gaussian Mixture Model

@article{Athanasiadis2009ComplementaryDM,
  title={Complementary DNA Microarray Image Processing Based on the Fuzzy Gaussian Mixture Model},
  author={Emmanouil Athanasiadis and Dionisis A. Cavouras and Panagiota Spyridonos and Dimitris Glotsos and Ioannis Kalatzis and George Nikiforidis},
  journal={IEEE Transactions on Information Technology in Biomedicine},
  year={2009},
  volume={13},
  pages={419-425}
}
The objective of this paper was to investigate the segmentation ability of the fuzzy Gaussian mixture model (FGMM) clustering algorithm, applied on complementary DNA (cDNA) images. Following a standard established procedure, a simulated microarray image of 1600 cells, each containing one spot, was produced. For further evaluation of the algorithm, three real microarray images were also used, each containing 6400 spots. For the task of locating spot borders and surrounding background (BG) in… CONTINUE READING

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