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    Two new methods for DNA splice site prediction based on neuro-fuzzy network and clustering

    , Article Neural Computing and Applications ; Volume 23, Issue SUPPL1 , 2013 , Pages 407-414 ; 09410643 (ISSN) Moghimi, F ; Manzuri Shalmani, M. T ; Khaki Sedigh, A ; Kia, M ; Sharif University of Technology
    2013
    Abstract
    Nowadays, genetic disorders, like cancer and birth defects, are a great threat to human life. Since the first noticing of these types of diseases, many efforts have been made and researches performed in order to recognize them and find a cure for them. These disorders affect genes and they appear as abnormal traits in a genetic organism. In order to recognize abnormal genes, we need to predict splice sites in a DNA signal; then, we can process the genetic codes between two continuous splice sites and analyze the trait that it represents. In addition to abnormal genes and their consequent disorders, we can also identify other normal human traits like physical and mental features. So the...