| CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning X Qiang, C Zhou, X Ye, P Du, R Su, L Wei Briefings in Bioinformatics 21 (1), 11-23, 2020 | 118 | 2020 |
| M6AMRFS: robust prediction of N6-methyladenosine sites with sequence-based features in multiple species X Qiang, H Chen, X Ye, R Su, L Wei Frontiers in genetics 9, 495, 2018 | 102 | 2018 |
| ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning L Wei, X Ye, T Sakurai, Z Mu, L Wei Bioinformatics 38 (6), 1514-1524, 2022 | 98 | 2022 |
| ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism L Wei, X Ye, Y Xue, T Sakurai, L Wei Briefings in Bioinformatics 22 (5), bbab041, 2021 | 71 | 2021 |
| m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation C Ao, X Ye, T Sakurai, Q Zou, L Yu BMC biology 21 (1), 93, 2023 | 51 | 2023 |
| Robust similarity measure for spectral clustering based on shared neighbors X Ye, T Sakurai ETRI journal 38 (3), 540-550, 2016 | 49 | 2016 |
| NerLTR-DTA: drug–target binding affinity prediction based on neighbor relationship and learning to rank X Ru, X Ye, T Sakurai, Q Zou Bioinformatics 38 (7), 1964-1971, 2022 | 44 | 2022 |
| iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism ZY Zhang, L Ning, X Ye, YH Yang, Y Futamura, T Sakurai, H Lin Briefings in Bioinformatics 23 (5), bbac395, 2022 | 42 | 2022 |
| Deep generative model for drug design from protein target sequence Y Chen, Z Wang, L Wang, J Wang, P Li, D Cao, X Zeng, X Ye, T Sakurai Journal of Cheminformatics 15 (1), 38, 2023 | 41 | 2023 |
| An oversampling framework for imbalanced classification based on Laplacian eigenmaps X Ye, H Li, A Imakura, T Sakurai Neurocomputing 399, 107-116, 2020 | 40 | 2020 |
| Multi-objective optimization based virtual resource allocation strategy for cloud computing L Xu, Z Zeng, X Ye 2012 IEEE/ACIS 11th International Conference on Computer and Information …, 2012 | 40 | 2012 |
| Review and comparative analysis of machine learning-based phage virion protein identification methods C Meng, J Zhang, X Ye, F Guo, Q Zou Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1868 (6), 140406, 2020 | 32 | 2020 |
| Distributed Collaborative Feature Selection Based on Intermediate Representation. X Ye, H Li, A Imakura, T Sakurai IJCAI, 4142-4149, 2019 | 32 | 2019 |
| Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm X Ru, L Wang, L Li, H Ding, X Ye, Q Zou Computers in Biology and Medicine 119, 103660, 2020 | 28 | 2020 |
| Anonymous dynamic group authenticated key agreements using physical unclonable functions for internet of medical things TF Lee, X Ye, SH Lin IEEE Internet of Things Journal 9 (16), 15336-15348, 2022 | 27 | 2022 |
| Ensemble learning for spectral clustering H Li, X Ye, A Imakura, T Sakurai 2020 IEEE International Conference on Data Mining (ICDM), 1094-1099, 2020 | 26 | 2020 |
| SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning X Zhang, L Wei, X Ye, K Zhang, S Teng, Z Li, J Jin, MJ Kim, T Sakurai, ... Briefings in Bioinformatics 24 (1), bbac545, 2023 | 23 | 2023 |
| Collaborative data analysis: Non-model sharing-type machine learning for distributed data A Imakura, X Ye, T Sakurai Knowledge Management and Acquisition for Intelligent Systems: 17th Pacific …, 2021 | 22 | 2021 |
| Spectral clustering with adaptive similarity measure in kernel space X Ye, T Sakurai Intelligent Data Analysis 22 (4), 751-765, 2018 | 22 | 2018 |
| Divide-and-conquer based large-scale spectral clustering H Li, X Ye, A Imakura, T Sakurai Neurocomputing 501, 664-678, 2022 | 20 | 2022 |
Tetsuya SakuraiDirector of Center for Artificial Intelligence Research, Professor, University of TsukubaVerified email at cs.tsukuba.ac.jp
