DocumentCode
2234357
Title
An AdaBoost Algorithm for the Identification of Arabidopsis Messenger RNA Polyadenylation Sites
Author
Ji, Guoli ; Zou, Dan ; Zheng, Jianti ; Li, Qingshun Quinn
Author_Institution
Dept. of Autom., Xiamen Univ., Xiamen, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
3579
Lastpage
3582
Abstract
To predict messenger RNA poly (A) sites of model plant Arabidopsis, we present a solution based on the AdaBoost (Adaptive Boosting) algorithm. Through the analysis of experimental results and comparing with the results produced by Support Vector Machine, with the progressive reduction of the training sample sizes, we still can get satisfying stable comprehensive evaluation index. This demonstrates the effectiveness of the method in identification of poly (A) sites.
Keywords
chemistry computing; macromolecules; support vector machines; AdaBoost algorithm; adaptive boosting; arabidopsis messenger RNA polyadenylation sites; support vector machine; Bioinformatics; Boosting; Gene expression; Humans; Information science; Machine learning; Machine learning algorithms; RNA; Sequences; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.224
Filename
5455597
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