Application of artificial neural networks for citogenetic studies

   


1. Medical College, Russian Academy of Medical Sciences
2. Engelhardt Institute of Molecular Biology, Russian Academy of Sciences
Type: Experimental/clinical study
Year: 2004 vol: 50  application: 1  pages: 163-171
Abstract: 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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Reference: Ruanet V.V., Khetagurova A.K., Badaeva E.D., Application of artificial neural networks for citogenetic studies, Biomeditsinskaya khimiya, 2004, vol: 50(application 1), 163-171.
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