Spectral similarity for analysis of DNA microarray time-series data.
This paper proposes a new similarity measurement for comparison and analysis of DNA microarray time-series data. In this method, a gene expression time series is decomposed into frequency components and the correlation between the data from a pair of genes is measured in the frequency domain. The method effectively solves the phase delay problem and provides a more accurate metric for microarray time-series classification.
Yan
Hong
H
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong, China. h.yan@cityu.edu.hk
Pham
Tuan
T
D000465:Algorithms; D020869:Gene Expression Profiling / Q000379:methods; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D013057:Spectrum Analysis / Q000379:methods