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A Novel Genetic Programming Approach for Inferring Gene Regulatory Network

by M.n.vamsi Thalatam, Allam Appa Rao
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 15
Year of Publication: 2015
Authors: M.n.vamsi Thalatam, Allam Appa Rao
10.5120/21147-4213

M.n.vamsi Thalatam, Allam Appa Rao . A Novel Genetic Programming Approach for Inferring Gene Regulatory Network. International Journal of Computer Applications. 119, 15 ( June 2015), 43-46. DOI=10.5120/21147-4213

@article{ 10.5120/21147-4213,
author = { M.n.vamsi Thalatam, Allam Appa Rao },
title = { A Novel Genetic Programming Approach for Inferring Gene Regulatory Network },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 15 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 43-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number15/21147-4213/ },
doi = { 10.5120/21147-4213 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:00.347198+05:30
%A M.n.vamsi Thalatam
%A Allam Appa Rao
%T A Novel Genetic Programming Approach for Inferring Gene Regulatory Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 15
%P 43-46
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Computational intelligence genetic programming Gene Regulatory Networks.

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