A Novel Genetic Programming Approach for Inferring Gene Regulatory Network

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Vamsi:2015:IJCA,

• author = "M. N. {Vamsi Thalatam} and Allam {Appa Rao}",
• title = "A Novel Genetic Programming Approach for Inferring Gene Regulatory Network",
• journal = "International Journal of Computer Applications",
• year = "2015",
• volume = "119",
• number = "15",
• pages = "43--46",
• month = jun,
• keywords = "genetic algorithms, genetic programming, Computational intelligence, Gene Regulatory Networks",
• ISSN = "0975-8887",
• URL = "https://www.ijcaonline.org/archives/volume119/number15/21147-4213/",
• URL = "https://research.ijcaonline.org/volume119/number15/pxc3904213.pdf",
• DOI = "doi:10.5120/21147-4213",
• size = "4 pages",
• 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",
• notes = "www.ijcaonline.org",

}

Genetic Programming entries for Mohana Naga Vamsi Thalatam Allam Appa Rao

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