Tetsuya Sakurai

发表

Multi-View Federated Learning with Data Collaboration

Xiucai Ye, Yitao Yang, Tetsuya Sakurai, 2022, ICMLC.

Missing Value Imputation With Low-Rank Matrix Completion in Single-Cell RNA-Seq Data by Considering Cell Heterogeneity

Xiucai Ye, Meng Huang, Tetsuya Sakurai, 2022, Frontiers in Genetics.

Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data

Xiucai Ye, Y. Futamura, Tetsuya Sakurai, 2022, Frontiers of Computer Science.

Extracellular vesicles derived from Wharton’s Jelly mesenchymal stem cells inhibit the tumor environment via the miR-125b/HIF1α signaling pathway

T. Yamashita, Xiucai Ye, Y. Futamura, 2022, Scientific Reports.

ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism

Leyi Wei, Xiucai Ye, Tetsuya Sakurai, 2021, Briefings Bioinform..

Inferring cell-specific lncRNA regulation with single-cell RNA-sequencing data in the developing human neocortex

Junpeng Zhang, Xiucai Ye, Jiangtao Ma, 2022, 2211.08084.

Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma

Xiucai Ye, A. Imakura, Meng Huang, 2022, J. Biomed. Informatics.

Interactive gene identification for cancer subtyping based on multi-omics clustering.

Xiucai Ye, Tianyi Shi, Tetsuya Sakurai, 2023, Methods.

Spectral Clustering Joint Deep Embedding Learning by Autoencoder

Xiucai Ye, Chunhao Wang, A. Imakura, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information

Xiucai Ye, Tetsuya Sakurai, Lesong Wei, 2022, RACS.

Current status and future prospects of drug-target interaction prediction.

Q. Zou, Chen Lin, Lei Xu, 2021, Briefings in functional genomics.

Parallel Fock matrix construction with distributed shared memory model for the FMO‐MO method

Tetsuya Sakurai, Hiroto Tadano, Yuichi Inadomi, 2010, J. Comput. Chem..

m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation

Liang Yu, Chunyan Ao, Xiucai Ye, 2023, BMC Biology.

Deep generative model for drug design from protein target sequence

Xiangxiang Zeng, Zixu Wang, Xiucai Ye, 2023, Journal of Cheminformatics.

Molecular language models: RNNs or transformer?

Xiangxiang Zeng, Zixu Wang, Xiucai Ye, 2023, Briefings in functional genomics.

Structural analysis based on unsupervised learning: Search for a characteristic low-dimensional space by local structures in atomistic simulations

T. Miyazaki, Y. Futamura, Ryo Tamura, 2021, Physical Review B.

NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank

Q. Zou, Xiucai Ye, Tetsuya Sakurai, 2022, Bioinform..

Molecular Orbital Calculation for Large Molecule

Y. Inadomi, U. Nagashima, Takayoshi Ishimoto, 2007 .

Determination of hyper-parameters in the atomic descriptors for efficient and robust molecular dynamics simulations with machine learning forces.

T. Miyazaki, Y. Futamura, Ryo Tamura, 2023, Physical chemistry chemical physics : PCCP.

iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism

Hao Lin, Xiucai Ye, Zhao-Yue Zhang, 2022, Briefings Bioinform..

ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning

Xiucai Ye, Leyi Wei, Zengchao Mu, 2022, Bioinform..

ToxinMI

Xiucai Ye, Tetsuya Sakurai, Lesong Wei, 2022, Proceedings of the Conference on Research in Adaptive and Convergent Systems.

Multi-view Network Embedding with Structure and Semantic Contrastive Learning

Xiucai Ye, Tetsuya Sakurai, Yifan Shang, 2023, 2023 IEEE International Conference on Multimedia and Expo (ICME).

Common and Unique Features Learning in Multi-view Network Embedding

Xiucai Ye, Tetsuya Sakurai, Yifan Shang, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Inferring cell-specific lncRNA regulation with single-cell RNA-sequencing data in the developing human neocortex

Junpeng Zhang, Xiucai Ye, Jiangtao Ma, 2022, 2211.08084.

Parallel Fock matrix construction with distributed shared memory model for the FMO‐MO method

Y. Inadomi, U. Nagashima, Takayoshi Ishimoto, 2010, J. Comput. Chem..

Knowledge distillation-based privacy-preserving data analysis

Xiucai Ye, Tetsuya Sakurai, Dong Huang, 2022, RACS.

MRMD3.0: A Python Tool and Webserver for Dimensionality Reduction and Data Visualization via an Ensemble Strategy.

Q. Zou, Xiucai Ye, Tetsuya Sakurai, 2023, Journal of molecular biology.

Collaborative analysis for drug discovery by federated learning on non-IID data.

Xiucai Ye, Tetsuya Sakurai, Dong Huang, 2023, Methods.

DenoiseST: A dual-channel unsupervised deep learning-based denoising method to identify spatial domains and functionally variable genes in spatial transcriptomics

Xiucai Ye, Ruheng Wang, Tetsuya Sakurai, 2024, bioRxiv.

CodLncScape Provides a Self‐Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs

Xiucai Ye, Tetsuya Sakurai, Xinyan Yang, 2024, Advanced science.

Multi-omics clustering based on interpretable and discriminative features for cancer subtyping

Xiucai Ye, Tianyi Shi, Tetsuya Sakurai, 2023, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Deciphering the Complex Characterization of Coding LncRNA

Xiucai Ye, Tetsuya Sakurai, Tianyuan Liu, 2024, 2024 International Joint Conference on Neural Networks (IJCNN).