Characterizing Gene Expressions Based on Their Temporal Observations
Joint Authors
Duan, Kangmin
Fang, Hong-Bin
Song, Jiuzhou
Source
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-04-14
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Temporal gene expression data are of particular interest to researchers as they contain rich information in characterization of gene function and have been widely used in biomedical studies.
However, extracting information and identifying efficient treatment effects without loss of temporal information are still in problem.
In this paper, we propose a method of classifying temporal gene expression curves in which individual expression trajectory is modeled as longitudinal data with changeable variance and covariance structure.
The method, mainly based on generalized mixed model, is illustrated by a dense temporal gene expression data in bacteria.
We aimed at evaluating gene effects and treatments.
The power and time points of measurements are also characterized via the longitudinal mixed model.
The results indicated that the proposed methodology is promising for the analysis of temporal gene expression data, and that it could be generally applicable to other high-throughput temporal gene expression analyses.
American Psychological Association (APA)
Song, Jiuzhou& Fang, Hong-Bin& Duan, Kangmin. 2009. Characterizing Gene Expressions Based on Their Temporal Observations. BioMed Research International،Vol. 2009, no. 2009, pp.1-5.
https://search.emarefa.net/detail/BIM-988353
Modern Language Association (MLA)
Song, Jiuzhou…[et al.]. Characterizing Gene Expressions Based on Their Temporal Observations. BioMed Research International No. 2009 (2009), pp.1-5.
https://search.emarefa.net/detail/BIM-988353
American Medical Association (AMA)
Song, Jiuzhou& Fang, Hong-Bin& Duan, Kangmin. Characterizing Gene Expressions Based on Their Temporal Observations. BioMed Research International. 2009. Vol. 2009, no. 2009, pp.1-5.
https://search.emarefa.net/detail/BIM-988353
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-988353