| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4942260 | Artificial Intelligence in Medicine | 2016 | 29 Pages |
Abstract
The results show that the proposed method is a strong candidate to predict drug response of cancer cell lines in silico for pre-clinical studies. The source code of the algorithm and data used can be obtained from http://mtan.etu.edu.tr/Supplementary/kMTrace/.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Mehmet Tan,