DocumentCode
468281
Title
Functional Similarity Analyzing of Protein Sequences with Empirical Mode Decomposition
Author
Shi, Feng ; Chen, Qiujian ; Niu, Xiaohui
Author_Institution
Huazhong Agric. Univ., Wuhan
Volume
2
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
766
Lastpage
770
Abstract
This paper applies empirical mode decomposition (EMD) to find functional similarity of proteins with low identity. The cross-correlation coefficient based on the EMD is used to measure the pair-wise similarity. We also use a segmentation technique, combined with EMD, to handle long protein sequences. The results are compared with those using the pair-wise alignment and PSI-BLAST.
Keywords
biology computing; correlation methods; data analysis; proteins; sequences; statistical analysis; cross-correlation coefficient; data analysis; empirical mode decomposition; functional pair-wise similarity analysis; protein sequences; segmentation technique; Bioinformatics; Biomedical signal processing; Databases; Hidden Markov models; Pattern analysis; Protein sequence; Signal analysis; Signal processing; Stochastic processes; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.315
Filename
4406179
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