Predicting drug responses from extended-connectivity fingerprints (ECFPs) of drugs by using graph neural networks
Cancer is one of the leading causes of deaths and one of the treatments of cancer cure is the use of drugs that inhibits the growth of cancer tumors. Hance, it is essential to be able to predict the response of cancer drugs to assess the effectiveness of each drug in slowing down the growth of abnor...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/156576 |