Verification of Three-Phase Dependency Analysis Bayesian Network Learning Method for Maize Carotenoid Gene Mining
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Background and Objective.
Mining the genes related to maize carotenoid components is important to improve the carotenoid content and the quality of maize.
Methods.
On the basis of using the entropy estimation method with Gaussian kernel probability density estimator, we use the three-phase dependency analysis (TPDA) Bayesian network structure learning method to construct the network of maize gene and carotenoid components traits.
Results.
In the case of using two discretization methods and setting different discretization values, we compare the learning effect and efficiency of 10 kinds of Bayesian network structure learning methods.
The method is verified and analyzed on the maize dataset of global germplasm collection with 527 elite inbred lines.
Conclusions.
The result confirmed the effectiveness of the TPDA method, which outperforms significantly another 9 kinds of Bayesian network learning methods.
It is an efficient method of mining genes for maize carotenoid components traits.
The parameters obtained by experiments will help carry out practical gene mining effectively in the future.
American Psychological Association (APA)
Liu, Jianxiao& Tian, Zonglin. 2017. Verification of Three-Phase Dependency Analysis Bayesian Network Learning Method for Maize Carotenoid Gene Mining. BioMed Research International،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1134209
Modern Language Association (MLA)
Liu, Jianxiao& Tian, Zonglin. Verification of Three-Phase Dependency Analysis Bayesian Network Learning Method for Maize Carotenoid Gene Mining. BioMed Research International No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1134209
American Medical Association (AMA)
Liu, Jianxiao& Tian, Zonglin. Verification of Three-Phase Dependency Analysis Bayesian Network Learning Method for Maize Carotenoid Gene Mining. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1134209
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134209