邹洋
- E-Mail:537c1dd8b516bccf70fb4d2864b35db501284187b4ea43eb2bfefc247e019c294aa9469a042999e41e02c26b7755ed5f584bc723845e98250a67e7ec19f7b0560ef4bc96c558a2c0064a0765caa9fa9be3a13867239577f7f279c406d86eb3f687dc551a6c6d42708d07edc01009a4c804456ad08fd5d0ecc3beab121d292eaf
- School/Department:生命科学与健康学院
- Education Level:Postgraduate (Postdoctoral)
- Degree:Doctoral Degree in Science
Xu, D.#, Zhu, Y.#, Xu, Q.#, Liu, Y., Chen, Y., Zou, Y.*, and Li, L*. DTL-NeddSite: A Deep-Transfer Learning Architecture for Prediction of Lysine Neddylation Sites. IEEE Access, 2023. 11: 51798-51809.
Release Time:2026-01-16
Hits:
- Date:
- 2026-01-16
- Title of Paper:
- Xu, D.#, Zhu, Y.#, Xu, Q.#, Liu, Y., Chen, Y., Zou, Y.*, and Li, L*. DTL-NeddSite: A Deep-Transfer Learning Architecture for Prediction of Lysine Neddylation Sites. IEEE Access, 2023. 11: 51798-51809.
- Translation or Not:
- No
- Prev One:Lyu, Xiaru#; Li, Shuhao#; Jiang, Chunyang; He, Ningning; Chen, Zhen; Zou, Yang*; Li, Lei*; DeepCSO: A Deep-Learning Network Approach to Predicting Cysteine S-Sulphenylation Sites., Front Cell Dev Biol, 2020, 8: 594587.
