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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.
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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