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Predicting protein submitochondrial locations by incorporating gene ontology annotations of low similarity sequences
DU Pufeng * #
School of Computer Science and Technology, Tianjin University, TianJin 300072
*Correspondence author
#Submitted by
Subject:
Funding: National Science Foundation of China（No.NSFC 61005041）, This work was supported by Specialized Research Fund for the Doctoral Program of Higher Education （No.SRFDP 20100032120039）
Opened online:23 August 2013
Accepted by: none
Citation: DU Pufeng.Predicting protein submitochondrial locations by incorporating gene ontology annotations of low similarity sequences[OL]. [23 August 2013] http://en.paper.edu.cn/en_releasepaper/content/4555493
 
 
In this paper, a novel method for predicting protein submitochondrial locations was proposed. In this method, the concept of extended gene ontology supporting set was proposed. A new scoreing schem, which is called the over-represented gene ontology score, was proposed. This method achieved better performance than state-of-the-art methods.
Keywords:Bioinformatics; submitchondrial locations; gene ontology
 
 
 

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