Gene Expression Network Reconstruction by LEP Method Using Microarray Data. (23rd December 2012)

• Record Type: Journal Article
• Authors: You, Na; Mou, Peng; Qiu, Ting; Kou, Qiang; Zhu, Huaijin; Chen, Yuexi; Wang, Xueqin
• Other Names: Jiang R. Academic Editor.; Tian W. Academic Editor.; Wan J. Academic Editor.; Zhao X. Academic Editor.
• Is Part Of: TheScientificWorldjournal. Volume 2012(2012)
• Publication Date: 2012-12-23
• Subjects: Science -- Periodicals; Technology -- Periodicals; Medicine -- Periodicals; 505
• DOI: 10.1100/2012/753430
• Languages: English
• ISSNs: 2356-6140

Abstract

Abstract : 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.