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OJBTM

Online Journal of Bioinformatics

Established 1995

ISSN  1443-2250

 

Volume 23 (2):203-210, 2022.

 

Gognitive neural network to detect rare events in DNA

Meena K1, Menaka K2, Sundar TV4, Subramanian KR3

1Bharathidasan University, Tiruchirappalli, 2Department of I.T. & Applications, Shrimati Indira Gandhi College, Tiruchirappalli, 3Department of M.C.A., Shrimati Indira Gandhi College, Tiruchirapalli, 4Assistant Professor (SG), Post Graduate and Research Department of Physics, National College (Autonomous), Tiruchirappalli.

 

ABSTRACT

 

Meena K, Menaka K, Sundar TV, Subramanian KR., Gognitive neural network to detect rare events in DNA, nl J Bioinform., 23 (2):203-210, 2022. Rare variations of genetic codes between intra or inter DNA sequences can be associated with disease. For analysis of multitude of genetic sequences we used neural network of pre-processed input data by cognition and processing power. Hence, an attempt has been made in this direction to construct an artificial neural network with the support of numerically characterized input data sets. It is found that the network is capable of rapid cognition and as well gives relatively better detection performance when compared to conventional learning method.

 

Keywords: Knowledge driven Artificial Neural Networks, DNA sequences, Numerical Characterization, Skewness.


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