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Mendeley readers
| Title |
Identification association of drug-disease by using functional gene module for breast cancer
|
|---|---|
| Published in |
BMC Medical Genomics, May 2015
|
| DOI | 10.1186/1755-8794-8-s2-s3 |
| Pubmed ID | |
| Authors |
Lida Zhu, Fuxi Zhu |
| Abstract |
In oncology drug development, it is important to develop low risk drugs efficiently. Meanwhile, computational methods have been paid more and more attention in drug discovery. However, few studies attempt to discover the mutual gene modules shared by the drug and disease association. Here we introduce a novel method to identify repositioned drug for breast cancer by integrating the breast cancer survival data with the drug sensitivity information. Among the 140 drug candidates, we are able to filter 4 FDA approved drugs and identify 2 breast cancer drugs among 4 known breast cancer therapeutic drug in total. |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 27% |
| Student > Ph. D. Student | 2 | 18% |
| Professor > Associate Professor | 1 | 9% |
| Student > Master | 1 | 9% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 27% |
| Engineering | 2 | 18% |
| Medicine and Dentistry | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Unknown | 4 | 36% |