A Novel Genetic Programming Approach for Inferring Gene Regulatory Network
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- @Article{Vamsi:2015:IJCA,
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author = "M. N. {Vamsi Thalatam} and Allam {Appa Rao}",
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title = "A Novel Genetic Programming Approach for Inferring
Gene Regulatory Network",
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journal = "International Journal of Computer Applications",
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year = "2015",
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volume = "119",
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number = "15",
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pages = "43--46",
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month = jun,
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keywords = "genetic algorithms, genetic programming, Computational
intelligence, Gene Regulatory Networks",
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ISSN = "0975-8887",
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URL = "https://www.ijcaonline.org/archives/volume119/number15/21147-4213/",
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URL = "https://research.ijcaonline.org/volume119/number15/pxc3904213.pdf",
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DOI = "doi:10.5120/21147-4213",
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size = "4 pages",
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abstract = "Computational intelligence (CI) techniques are well
suited to many of the problems arising in biology as
they have flexible information processing capabilities
for handling huge volume of real life data with noise,
ambiguity, missing values, and so on. To process the
executed knowledge through CI approaches needs
techniques from computer science & engineering,
mathematics and statistics. It involves in-depth study
with in the areas of genomic signals, gene regulation
and homeostatic regulation. The evolutionary computing
techniques like genetic programming plays vital role to
effectively resolve several crucial problems related to
genomics. The core objective of this work is to study
and model the different regulation mechanisms involved
in the living organisms and propose accurate
evolutionary algorithms for inferring Gene Regulatory
Networks",
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notes = "www.ijcaonline.org",
- }
Genetic Programming entries for
Mohana Naga Vamsi Thalatam
Allam Appa Rao
Citations