THE RECOGNITION SYSTEM OF SICKLE CELL ANEMIA BY USING HIDDEN MARKOV MODEL

• Publish Date: 2017-08-30

Research Abstract:

The study of genetic mutations, that is responsible for diseases , is an important issue in genetics for its close relationship with the genetic evolution of living organisms , In this paper we present an algorithm that is bases on the Hidden Markov Models of recognition to the mutation that causes one of the most common genetic diseases, Sickle Cell disease, thus diagnoses the person state (infected, uninfected) , This method is applied to DNA sequence , Deoxyribonucleic acid, the practical application shows that the rate of recognition of an infected person equals (99%) and the rate of recognition of a healthy person equals (86.33%) ,All the code is written by using statistical program R.

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