Clustering Time Series Gene Expression Data Based on Sum-of-Exponentials Fitting

Clustering Time Series Gene Expression Data Based on Sum-of-Exponentials Fitting

<p/> <p>This paper presents a method based on fitting a sum-of-exponentials model to the nonuniformly sampled data, for clustering the time series of gene expression data. The structure of the model is estimated by using the minimum description length (MDL) principle for nonlinear regres...

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Bibliographic Details
Main Authors: Giurc&#259;neanu Ciprian Doru, T&#259;bu&#351; Ioan, Astola Jaakko
Format: Article
Language:English
Published: SpringerOpen 2005-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
nonuniformly sampled data
sum-of-exponentials model
normalized maximum likelihood
time series clustering
gene expression data
developmental biology
Online Access:http://dx.doi.org/10.1155/ASP.2005.1159

Internet

http://dx.doi.org/10.1155/ASP.2005.1159

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