Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework L Wei, W He, A Malik, R Su, L Cui, B Manavalan Briefings in Bioinformatics 22 (4), bbaa275, 2021 | 90 | 2021 |
Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides W He, Y Wang, L Cui, R Su, L Wei Bioinformatics 37 (24), 4684-4693, 2021 | 36 | 2021 |
Accelerating bioactive peptide discovery via mutual information-based meta-learning W He, Y Jiang, J Jin, Z Li, J Zhao, B Manavalan, R Su, X Gao, L Wei Briefings in bioinformatics 23 (1), bbab499, 2022 | 35 | 2022 |
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization Y Yu, W He, J Jin, G Xiao, L Cui, R Zeng, L Wei Bioinformatics 37 (24), 4603-4610, 2021 | 24 | 2021 |
PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture X Cao, W He, Z Chen, Y Li, K Wang, H Zhang, L Wei, L Cui, R Su, L Wei Briefings in Bioinformatics 22 (6), bbab203, 2021 | 11 | 2021 |
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare J Zhou, H Li, X Liao, B Zhang, W He, Z Li, L Zhou, X Gao arXiv preprint arXiv:2302.09813, 2023 | 8 | 2023 |
CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptides Z Li, J Jin, W He, W Long, H Yu, X Gao, K Nakai, Q Zou, L Wei Briefings in Bioinformatics 24 (6), bbad352, 2023 | 3 | 2023 |
A unified method to revoke the private data of patients in intelligent healthcare with audit to forget J Zhou, H Li, X Liao, B Zhang, W He, Z Li, L Zhou, X Gao Nature Communications 14 (1), 6255, 2023 | 1 | 2023 |
An AI Agent for Fully Automated Multi-omic Analyses J Zhou, B Zhang, X Chen, H Li, X Xu, S Chen, W He, C Xu, X Gao bioRxiv, 2023.09. 08.556814, 2023 | | 2023 |
JoshuaChou2018/AFS: AFS: An Auditing and Forgetting Suite to Revoke Patients’ Private Data in Intelligent Healthcare J Zhou, H Li, X Liao, B Zhang, W He, Z Li, L Zhou, X Gao Github, 2022 | | 2022 |
TearsWaiting/MIMML: The implement of MIMML in paper: Accelerating Bioactive Peptides Discovery via Mutual Information based Meta-learning W He, Y Jiang, J Jin, Z Li, J Zhao, B Manavalan, R Su, X Gao, L Wei Github, 2021 | | 2021 |