StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors
| dc.contributor.author | Aijaz Ahmad Malik | |
| dc.contributor.author | Warot Chotpatiwetchkul | |
| dc.contributor.author | Chuleeporn Phanus-umporn | |
| dc.contributor.author | Chanin Nantasenamat | |
| dc.contributor.author | Phasit Charoenkwan | |
| dc.contributor.author | Watshara Shoombuatong | |
| dc.date.accessioned | 2025-07-21T06:05:48Z | |
| dc.date.issued | 2021-10-01 | |
| dc.identifier.doi | 10.1007/s10822-021-00418-1 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/10663 | |
| dc.subject | Identification | |
| dc.subject | Feature (linguistics) | |
| dc.subject | Benchmark (surveying) | |
| dc.subject.classification | Computational Drug Discovery Methods | |
| dc.title | StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors | |
| dc.type | Article |