DocumentCode
2519296
Title
Scale-Specific Similarity Measure for Analysis of Gene Expression Time Series
Author
Ying, Li
Author_Institution
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
4
Abstract
Combined cross-correlation and multi-resolution of maximal overlap discrete wavelets, the scale-specific similarity measure for the analysis of gene expression time series is provided, which can capture the relationship of co-expression under time-delay and local time points. The scale-specific similarity measure have more possible to capture more biological knowledge than Pearson correlation and cross correlation.
Keywords
bioinformatics; correlation methods; discrete wavelet transforms; genetics; time series; cross-correlation; gene expression time series analysis; maximal overlap discrete wavelet; scale-specific similarity measure; time-delay; Biological processes; Discrete wavelet transforms; Filters; Fungi; Gene expression; Histograms; Sequences; Time measurement; Time series analysis; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5163360
Filename
5163360
Link To Document