Follow
Tetsuya Sakurai
Tetsuya Sakurai
Director of Center for Artificial Intelligence Research, Professor, University of Tsukuba
Verified email at cs.tsukuba.ac.jp - Homepage
Title
Cited by
Year
An interpretable deep learning model predicts RNA–small molecule binding sites
W Xi, R Wang, L Wang, X Ye, M Liu, T Sakurai
Future Generation Computer Systems 159, 557-566, 2024
2024
Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems
DH Nguyen, T Sakurai
Machine Learning, 1-28, 2024
2024
Collaborative causal inference on distributed data
Y Kawamata, R Motai, Y Okada, A Imakura, T Sakurai
Expert Systems with Applications 244, 123024, 2024
32024
MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor
L Wang, X Fu, J Yang, X Zhang, X Ye, Y Liu, T Sakurai, X Zeng
arXiv preprint arXiv:2406.02610, 2024
2024
CodLncScape Provides a Self‐Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs (Adv. Sci. 22/2024)
T Liu, H Qiao, Z Wang, X Yang, X Pan, Y Yang, X Ye, T Sakurai, H Lin, ...
Advanced Science 11 (22), 2470129, 2024
2024
Toward the Application of Differential Privacy to Data Collaboration
H Yamashiro, K Omote, A Imakura, T Sakurai
IEEE Access, 2024
2024
Integrated convolution and self-attention for improving peptide toxicity prediction
S Jiao, X Ye, T Sakurai, Q Zou, R Liu
Bioinformatics 40 (5), btae297, 2024
2024
CodLncScape Provides a Self‐Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs
T Liu, H Qiao, Z Wang, X Yang, X Pan, Y Yang, X Ye, T Sakurai, H Lin, ...
Advanced Science, 2400009, 2024
12024
A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens
ZY Zhang, Z Zhang, X Ye, T Sakurai, H Lin
International Journal of Biological Macromolecules 265, 130659, 2024
2024
Distributed data integration device, distributed data integration method, and program
A Imakura, T Sakurai
US Patent 11,934,558, 2024
2024
Numerical Analysis for Data Relationship
T Sakurai, Y Futamura, A Imakura, X Ye
Advanced Mathematical Science for Mobility Society, 61-77, 2024
2024
Multi-party collaborative drug discovery via federated learning
D Huang, X Ye, T Sakurai
Computers in Biology and Medicine 171, 108181, 2024
2024
Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach
Y Kawamata, R Motai, Y Okada, A Imakura, T Sakurai
arXiv preprint arXiv:2402.02672, 2024
2024
Extraction of local structure differences in silica based on unsupervised learning
AKA Lu, J Lin, Y Futamura, T Sakurai, R Tamura, T Miyazaki
Physical Chemistry Chemical Physics 26 (15), 11657-11666, 2024
2024
DenoiseST: A dual-channel unsupervised deep learning-based denoising method to identify spatial domains and functionally variable genes in spatial transcriptomics
Y Cui, R Wang, X Zeng, Y Cui, Z Zhu, K Nakai, X Ye, T Sakurai, L Wei
bioRxiv, 2024.03. 04.583438, 2024
2024
CLOP-hERG: The Contrastive Learning Optimized Pre-Trained Model for Representation Learning in Predicting Drug-Induced hERG Channel Blockers
S He, X Ye, T Sakurai
2024
FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery
S He, X Ye, L Dou, T Sakurai
Computers in Biology and Medicine 168, 107762, 2024
2024
Feature amount selection device, feature amount selection method, and program
T Sakurai, Y Futamura, M Matsuda
US Patent App. 18/252,819, 2023
2023
Multi-omics clustering based on interpretable and discriminative features for cancer subtyping
T Shi, X Ye, T Sakurai
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
2023
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites
S Jiao, X Ye, C Ao, T Sakurai, Q Zou, L Xu
Bioinformatics 39 (11), btad627, 2023
12023
The system can't perform the operation now. Try again later.
Articles 1–20