Application of artificial neural networks for citogenetic studies

   
Ruanet V.V.1 , Khetagurova A.K.1, Badaeva E.D.2

1. Medical College, Russian Academy of Medical Sciences
2. Engelhardt Institute of Molecular Biology, Russian Academy of Sciences
Section: Experimental/Clinical Study
Year: 2004
Species identification on the basis of cytogenetic results is an important issue of genetics, molecular biology, and phylogenetic studies. The use of various cytogenetic techniques allows obtaining a species-specific sites of rRNA- genes regions of chromosome. However, the deciphering of this pattern, i.e., species identification based on the amount, distribution, and staining intensity of sites of rRNA- genes is a difficult problem. Perspectives of artificial neural networks (ANN) for processing and interpretation of the results of cytogenetic analysis are demonstrated
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Ruanet V.V., Khetagurova A.K., Badaeva E.D. (2004) Biomeditsinskaya khimiya, 50(application 1), 163-171.
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