Oligonucleotide Microarray Probe Correction by FixedPoint ICA Algorithm

  • Authors:

  • Raul Malutan;Pedro Gómez;Monica Borda

  • Affiliations:

  • Technical University of Cluj-Napoca, Cluj-Napoca, Romania 400027 and Universidad Politécnica de Madrid, Boadilla del Monte, Madrid, Spain 28660;Universidad Politécnica de Madrid, Boadilla del Monte, Madrid, Spain 28660;Technical University of Cluj-Napoca, Cluj-Napoca, Romania 400027

  • Venue:
  • IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
  • Year:
  • 2009

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Abstract

Oligonucleotide Microarrays have become powerful tools in genetics, as they serve as parallel scanning mechanisms to detect the presence of genes using test probes. The detection of each gene depends on the multichannel differential expression of perfectly matched segments against mismatched ones. This methodology posse some interesting problems under the point of view of Genomic Signal Processing, as test probes express themselves in rather different patterns, not showing proportional expression levels for most of the segment pairs, as it would be expected. The method proposed in this paper consists in isolating gene expressions showing unexpected behavior using independent component analysis.