DocumentCode :
527521
Title :
Protein remote homology detection
Author :
Ying Li ; Yujing Guan ; Zhang Huaiguo ; Liang, Yung C.
Author_Institution :
Symbol Comput. & Knowledge Eng. Lab. of Minist. of Educ., Jilin Univ., Changchun, China
Volume :
2
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
514
Lastpage :
518
Abstract :
In this paper, a novel protein remote homology detection algorithm based on multiple heterogeneous biological features and kernel affinity propagation clustering is proposed. The kernel method is used to integrate the heterogeneous data sources related to protein remote homolog. In addition prediction accuracy method is extended to validate our proposed algorithm.
Keywords :
biology computing; pattern clustering; proteins; heterogeneous biological features; kernel affinity propagation clustering; prediction accuracy method; protein remote homology detection; Accuracy; Amino acids; Bioinformatics; Clustering algorithms; Feature extraction; Kernel; Proteins; affinity propagation clustering; heterogeneous features; kernel; protein remote homology detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5583129
Filename :
5583129
Link To Document :
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