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