A Novel Deep Learning Mechanism for DNA sequencing
Keywords:
Deep Learning, Artificial Intelligence, DNA sequencingAbstract
Deep Learning is the study of how a computer can perceive the environment and investigate how it can differentiate the patterns in their respective fields, and make intelligent actions based on the type and categories of the pattern. Deep Learning is experienced in a wide range of human activity. In a broader view, it will cover any context where some predictions are made on the readily available data. Deep Learning deals with the evolution of a method, which is to be applied to a set of possible inputs; the method evolved will assign a class from a set of classes to a new input, based on its observed features. We propose a novel deep learning mechanism for faster DNA sequencing.
References
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4. A Fast Multiple Attractor Cellular Automata with Modified Clonal Classifier Promoter Region Prediction in Eukaryotes.Journal of Bioinformatics and Intelligent Control, Vol. 3, 1–6, 2014. DOI:10.1166/jbic.2014.1077 (American Scientific Publications, USA)
5. 5.MACA-MCC-DA: A Fast MACA with Modified Clonal Classifier Promoter Region Prediction in Drosophila and Arabidopsis. European Journal of Biotechnology and Bioscience, 1 (6), 2014, pp 22-26, Impact Factor: 1.74
6. Cellular Automata in Splice Site Prediction. European Journal of Biotechnology and Bioscience, 1 (6), 2014, pp 36-39, Impact Factor: 1.74
7. AIX-MACA-Y Multiple Attractor Cellular Automata Based Clonal Classifier for Promoter and Protein Coding Region Prediction. Journal of Bioinformatics and Intelligent Control 3, no. 1 (2014): 23-30. DOI:10.1166/jbic.2014.1071, (American Scientific Publications, USA)
8. PSMACA: An Automated Protein Structure Prediction Using MACA (Multiple Attractor Cellular Automata). Journal of Bioinformatics and Intelligent Control 2, no. 3 (2013): 211-215. DOI:10.1166/jbic.2013.1052 (American Scientific Publications, USA)
Published
2018-12-28
Issue
Section
Research Article
