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Autor:
Begum, S. Gousiya1 (AUTHOR), Sree, P. Kiran1 (AUTHOR)
Publikováno v:
Indonesian Journal of Multidisciplinary Science. Jun2023, Vol. 2 Issue 9, p3085-3094. 10p.
Publikováno v:
Journal of Advanced Research in Applied Artificial Intelligence & Neural Network Vol.1, Issue1, 2014
This paper aims at providing a survey on the problems that can be easily addressed by clonalbased cellular automata in bioinformatics. Researchers try to address the problems in bioinformatics independent of each problem. None of the researchers has
Externí odkaz:
http://arxiv.org/abs/1405.3166
Bioinformatics encompass storing, analyzing and interpreting the biological data. Most of the challenges for Machine Learning methods like Cellular Automata is to furnish the functional information with the corresponding biological sequences. In euka
Externí odkaz:
http://arxiv.org/abs/1404.6020
Bioinformatics incorporates information regarding biological data storage, accessing mechanisms and presentation of characteristics within this data. Most of the problems in bioinformatics and be addressed efficiently by computer techniques. This pap
Externí odkaz:
http://arxiv.org/abs/1404.1144
Publikováno v:
Global Perspectives on Artificial Intelligence (GPAI) Volume 2 Issue 2, Pages 16-22 April 2014
This paper aims at providing a survey on the problems that can be easily addressed by cellular automata in bioinformatics. Some of the authors have proposed algorithms for addressing some problems in bioinformatics but the application of cellular aut
Externí odkaz:
http://arxiv.org/abs/1404.0453
Publikováno v:
Journal of Bioinformatics and Comparative Genomics,2014
Most of the problems in bioinformatics are now the challenges in computing. This paper aims at building a classifier based on Multiple Attractor Cellular Automata (MACA) which uses fuzzy logic. It is strengthened with an artificial Immune System Tech
Externí odkaz:
http://arxiv.org/abs/1403.5933
This paper exclusively reports the efficiency of AIS-INMACA. AIS-INMACA has created good impact on solving major problems in bioinformatics like protein region identification and promoter region prediction with less time (Pokkuluri Kiran Sree, 2014).
Externí odkaz:
http://arxiv.org/abs/1403.1336
Publikováno v:
IJCSNS International Journal of Computer Science and Network Security, VOL.8 No.1, January 2008,305-310
Genes carry the instructions for making proteins that are found in a cell as a specific sequence of nucleotides that are found in DNA molecules. But, the regions of these genes that code for proteins may occupy only a small region of the sequence. Id
Externí odkaz:
http://arxiv.org/abs/1401.6484
Publikováno v:
International Journal of Research in Computer Applications & Information Technology, Volume 1, Issue 1, July-September, 2013, pp. 26-31
Human body consists of lot of cells, each cell consist of DeOxaRibo Nucleic Acid (DNA). Identifying the genes from the DNA sequences is a very difficult task. But identifying the coding regions is more complex task compared to the former. Identifying
Externí odkaz:
http://arxiv.org/abs/1401.5364