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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xianjun Shen Yang Yi Yan Wang Xiaohui Chen Jincai Yang Tingting He |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Comput., Central China Normal Univ., Wuhan, China (Xianjun Shen; Yang Yi; Yan Wang; Xiaohui Chen; Jincai Yang; Tingting He) |
| Abstract | Breast cancer is a leading cause of cancer-related deaths in women worldwide. Discovery of breast cancer-related disease genes is becoming very important to researcher and opens a new way to investigate pathogenic mechanism of breast cancer. Many studies have shown that the availability of human genome-wide protein-protein interactions (PPI) provides us with new opportunity for discovering disease-genes by topological features in PPI network. Therefore, it's a novel idea that map disease genes to proteins and predict disease genes by analyzing modular feature of the human PPI network. In this paper, we propose a Closely Associated Degree (CAD) algorithm based on the variation of density modularity. The CAD algorithm is first tested on the yeast PPI network, and then applied to discover breast cancer-related disease genes. The experimental results show that CAD gets 25 breast cancer-related functional modules that include known disease genes of breast cancer. Further analyzing these functional modules, four breast cancer-related disease genes have been discovered which play a significant role in breast cancer. |
| Starting Page | 22 |
| Ending Page | 27 |
| File Size | 266946 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479956692 |
| DOI | 10.1109/BIBM.2014.6999277 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-02 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Proteins Design automation Databases internal closely associated degree Clustering algorithms Breast disease genes Prediction algorithms breast cancer protein-protein interaction network external closely associated degree Diseases |
| Content Type | Text |
| Resource Type | Article |
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