IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug-Target Interaction Prediction.
Saved in:
| Title: | IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug-Target Interaction Prediction. |
|---|---|
| Authors: | Zhang Y; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China. yyzhang1217@163.com., Wang Q; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China., Zhang C; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China., Feng B; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China., Shang J; School of Information Science and Engineering, Qufu Normal University, Rizhao, 276800, China., Zhang L; School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266000, China. |
| Source: | Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2026 Jun; Vol. 18 (2), pp. 687-701. Date of Electronic Publication: 2025 May 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1867-1462 |
|---|---|
| DOI: | 10.1007/s12539-025-00712-8 |
