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Gene Expression Network Reconstruction by LEP Method Using Microarray Data
Joint Authors
Zhu, Huaijin
Mou, Peng
Chen, Yuexi
You, Na
Kou, Qiang
Qiu, Ting
Wang, Xueqin
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-23
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Information Technology and Computer Science
Abstract EN
Gene expression network reconstruction using microarray data is widely studied aiming to investigate the behavior of a gene cluster simultaneously.
Under the Gaussian assumption, the conditional dependence between genes in the network is fully described by the partial correlation coefficient matrix.
Due to the high dimensionality and sparsity, we utilize the LEP method to estimate it in this paper.
Compared to the existing methods, the LEP reaches the highest PPV with the sensitivity controlled at the satisfactory level.
A set of gene expression data from the HapMap project is analyzed for illustration.
American Psychological Association (APA)
You, Na& Mou, Peng& Qiu, Ting& Kou, Qiang& Zhu, Huaijin& Chen, Yuexi…[et al.]. 2012. Gene Expression Network Reconstruction by LEP Method Using Microarray Data. The Scientific World Journal،Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-496047
Modern Language Association (MLA)
You, Na…[et al.]. Gene Expression Network Reconstruction by LEP Method Using Microarray Data. The Scientific World Journal No. 2012 (2012), pp.1-6.
https://search.emarefa.net/detail/BIM-496047
American Medical Association (AMA)
You, Na& Mou, Peng& Qiu, Ting& Kou, Qiang& Zhu, Huaijin& Chen, Yuexi…[et al.]. Gene Expression Network Reconstruction by LEP Method Using Microarray Data. The Scientific World Journal. 2012. Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-496047
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496047