An AdaBoost Algorithm for the Identification of Arabidopsis Messenger RNA Polyadenylation Sites

An AdaBoost Algorithm for the Identification of Arabidopsis Messenger RNA Polyadenylation Sites

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 trainin...

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Bibliographische Detailangaben
Hauptverfasser: Guoli Ji, Dan Zou, Jianti Zheng, Qingshun Quinn Li
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Bioinformatics
Boosting
Gene expression
Humans
Information science
Machine learning
Machine learning algorithms
RNA
Sequences
Space technology
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Beschreibung
Zusammenfassung: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.
ISSN:2160-1283
DOI:10.1109/ICISE.2009.224