A general co-expression network-based approach to gene expression analysis: comparison and applications |
| |
| Authors: | Jianhua Ruan Angela K Dean Weixiong Zhang |
| |
| Institution: | (1) Department of Computer Science, The University of Texas at San Antonio, One UTSA Circle, TX 78249 San Antonio, USA;(2) Department of Computer Science and Engineering, Washington University in St Louis, One Brookings Dr, 63130 St Louis, MO, USA;(3) Department of Genetics, Washington University School of Medicine, 63110, Campus Box 8232, St Louis, MO, USA |
| |
| Abstract: | Background Co-expression network-based approaches have become popular in analyzing microarray data, such as for detecting functional
gene modules. However, co-expression networks are often constructed by ad hoc methods, and network-based analyses have not
been shown to outperform the conventional cluster analyses, partially due to the lack of an unbiased evaluation metric. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
