SAKURAI Tetsuya
- Articles
- Selecting interpretable features for cancer subtyping on multi-omics data
Shi Tianyi; Ye Xiucai; Huang Dong; Sakurai Tetsuya
Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM)/pp.1155-1160, 2024-12 - CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network
Wang Zixu; Chen Yangyang; Ye Xiucai; Sakurai Tetsuya
Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2024-06 - Deciphering the Complex Characterization of Coding LncRNA
Liu Tianyuan; Ye Xiucai; Sakurai Tetsuya
Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2024-06 - Multi-Omics clustering by integrating clinical features from large language model
Ye Xiucai; Shi Tianyi; Huang Dong; Sakurai Tetsuya
Methods/239/pp.64-71, 2025-07 - Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism
Jiao Shihu; Wang Yu; Ye Xiucai; Nagahara Larry; Sakur...
Scientific Reports/15( 9603), 2025-03 - OmniClust: A versatile clustering toolkit for single-cell and spatial transcriptomics data
Cui Yaxuan; Cui Yang; Ding Yi; Nakai Kenta; Wei Leyi...
Methods/238/pp.84-94, 2025-03 - MultiCycPermea: accurate and interpretable prediction of cyclic peptide permeability using a multimodal image-sequence model
Wang Zixu; Chen Yangyang; Shang Yifan; Yang Xiulong; ...
BMC Biology/23(63), 2025-02 - Data collaboration for causal inference from limited medical testing and medication data
NAKAYAMA Tomoru; KAWAMATA Yuji; TOYODA Akihiro; IMAKUR...
Scientific Reports/15(1), 2025-03 - Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach
MASHIKO Sota; KAWAMATA Yuji; NAKAYAMA Tomoru; SAKURAI ...
arXiv, 2025-01 - Development of a deep learning-based model to evaluate changes during radiotherapy using cervical cancer digital pathology
Goto Masaaki; Futamura Yasunori; Makishima Hirokazu; S...
Journal of radiation research/66(2)/pp.144-156, 2025-03-07 - Image-based generation for molecule design with SketchMol
Wang Zixu; Chen Yangyang; Ma Pengsen; Yu Zhou; Wang ...
NATURE MACHINE INTELLIGENCE/Epub, 2025-02-13 - Robust feature learning using contractive autoencoders for multi-omics clustering in cancer subtyping
Guo Mengke; Ye Xiucai; Huang Dong; Sakurai Tetsuya
METHODS/233/pp.52-60, 2025-01 - DiffSeqMol: A Non-Autoregressive Diffusion-Based Approach for Molecular Sequence Generation and Optimization
Wang Zixu; Chen Yangyang; Guo Xiulan; Li Yayang; Li ...
CURRENT BIOINFORMATICS/Epub, 2024-09-20 - Cancer subtype identification by multi-omics clustering based on interpretable feature and latent subspace learning
Shi Tianyi; Ye Xiucai; Huang Dong; Sakurai Tetsuya
METHODS/231/pp.144-153, 2024-11 - Identification of Spatial Domains, Spatially Variable Genes, and Genetic Association Studies of Alzheimer Disease with an Autoencoder-based Fuzzy Clustering Algorithm
Cui Yaxuan; Wei Leyi; Wang Ruheng; Ye Xiucai; Sakurai...
CURRENT BIOINFORMATICS/19(8)/pp.765-776, 2024-10 - Extraction of local structure differences in silica based on unsupervised learning
Anh Khoa Augustin Lu; Jianbo Lin; Yasunori Futamura; T...
Physical Chemistry Chemical Physics/26(15)/pp.11657-11666, 2024-03 - An interpretable deep learning model predicts RNA-small molecule binding sites
Xi Wenyu; Wang Ruheng; Wang Li; Ye Xiucai; Liu Mingy...
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE/159/pp.557-566, 2024-10 - Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems
NGUYEN Dai Hai; Sakurai Tetsuya
Machine Learning/113(9)/pp.6697-6724, 2024-07 - Toward the Application of Differential Privacy to Data Collaboration
Yamashiro Hiromi; Omote Kazumasa; Imakura Akira; Sakur...
IEEE ACCESS/12/pp.63292-63301, 2024-04-01 - Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach
Kawamata Yuji; Motai Ryoki; Okada Yukihiko; Imakura A...
arXiv, 2024-02 - Quantum Algorithm for Regularized Spectral Clustering
Long Changzhou; Futamura Yasunori; Ye Xiucai; Sakurai ...
ICMLC '23: Proceedings of the 2023 15th International Conference on Machine Learning and Computing/pp.5-11, 2023-09 - Collaborative causal inference on distributed data
Kawamata Yuji; Motai Ryoki; Okada Yukihiko; Imakura A...
EXPERT SYSTEMS WITH APPLICATIONS/244, 2024-06 - Multi-omics clustering based on interpretable and discriminative features for cancer subtyping
Shi Tianyi; Ye Xiucai; Sakurai Tetsuya
Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM)/pp.630-635, 2023-12 - Integrated convolution and self-attention for improving peptide toxicity prediction
Jiao Shihu; Ye Xiucai; Sakurai Tetsuya; Zou Quan; Liu...
BIOINFORMATICS/40(5)/p.btae297, 2024-05 - CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs
Liu Tianyuan; Qiao Huiyuan; Wang Zixu; Yang Xinyan; P...
Advanced Science/11(22), 2024-04 - more...
- Selecting interpretable features for cancer subtyping on multi-omics data