Search Results - "Sakurai, Tetsuya"
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m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation
Published in BMC biology (24-04-2023)“…RNA 5-methyluridine (m5U) modifications are obtained by methylation at the C position of uridine catalyzed by pyrimidine methylation transferase, which is…”
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ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism
Published in Briefings in bioinformatics (02-09-2021)“…Peptides have recently emerged as promising therapeutic agents against various diseases. For both research and safety regulation purposes, it is of high…”
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A genome resource for green millet Setaria viridis enables discovery of agronomically valuable loci
Published in Nature biotechnology (01-10-2020)“…Wild and weedy relatives of domesticated crops harbor genetic variants that can advance agricultural biotechnology. Here we provide a genome resource for the…”
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Draft genome assembly and annotation of Glycyrrhiza uralensis, a medicinal legume
Published in The Plant journal : for cell and molecular biology (01-01-2017)“…Summary Chinese liquorice/licorice (Glycyrrhiza uralensis) is a leguminous plant species whose roots and rhizomes have been widely used as a herbal medicine…”
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Interactive gene identification for cancer subtyping based on multi-omics clustering
Published in Methods (San Diego, Calif.) (01-03-2023)“…•In this study, we propose a learning framework to identify the interactive genes based on multi-omics data, which is important to explore multiple related…”
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Complex moment-based eigensolver coupled with two Krylov subspaces
Published in Journal of computational and applied mathematics (01-11-2023)“…Complex moment-based eigensolvers have been well studied for solving interior eigenvalue problems because of their high parallel efficiency. Recently, as a…”
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Interpretable collaborative data analysis on distributed data
Published in Expert systems with applications (01-09-2021)“…•An interpretable distributed data analysis with sharing intermediate representations.•A practical supplement to the federated learning systems.•The obtained…”
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Integrated convolution and self-attention for improving peptide toxicity prediction
Published in Bioinformatics (Oxford, England) (02-05-2024)“…Abstract Motivation Peptides are promising agents for the treatment of a variety of diseases due to their specificity and efficacy. However, the development of…”
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Another use of SMOTE for interpretable data collaboration analysis
Published in Expert systems with applications (15-10-2023)“…Recently, data collaboration (DC) analysis has been developed for privacy-preserving integrated analysis across multiple institutions. DC analysis centralizes…”
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Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving
Published in Briefings in bioinformatics (13-05-2022)“…Abstract Accurate prediction of drug-target interactions (DTIs) can reduce the cost and time of drug repositioning and drug discovery. Many current methods…”
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Block SS–CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure
Published in Parallel computing (01-05-2018)“…•This paper proposes a novel complex moment-based parallel nonlinear eigensolver.•The proposed method shows a good scalability based on its hierarchical…”
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RIKEN tandem mass spectral database (ReSpect) for phytochemicals: A plant-specific MS/MS-based data resource and database
Published in Phytochemistry (Oxford) (01-10-2012)“…The ReSpect database is composed of tandem mass spectrometry (MS/MS) data, and the web applications are established for the annotation of untargeted MS/MS…”
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Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites
Published in Bioinformatics (Oxford, England) (01-11-2023)“…Abstract Motivation The rapid and extensive transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to an unprecedented global…”
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A filter diagonalization for generalized eigenvalue problems based on the Sakurai–Sugiura projection method
Published in Journal of computational and applied mathematics (15-02-2010)“…The Sakurai–Sugiura projection method, which solves generalized eigenvalue problems to find certain eigenvalues in a given domain, was reformulated by using…”
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Collaborative causal inference on distributed data
Published in Expert systems with applications (15-06-2024)“…In recent years, the development of technologies for causal inference with privacy preservation of distributed data has gained considerable attention. Many…”
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Toward the Application of Differential Privacy to Data Collaboration
Published in IEEE access (01-01-2024)“…Federated Learning, a model-sharing method, and Data Collaboration, a non-model-sharing method, are recognized as data analysis methods for distributed data…”
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In Silico Analysis of Correlations between Protein Disorder and Post-Translational Modifications in Algae
Published in International journal of molecular sciences (20-08-2015)“…Recent proteome analyses have reported that intrinsically disordered regions (IDRs) of proteins play important roles in biological processes. In higher plants…”
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Extracellular vesicles derived from Wharton’s Jelly mesenchymal stem cells inhibit the tumor environment via the miR-125b/HIF1α signaling pathway
Published in Scientific reports (08-08-2022)“…Triple negative breast cancer (TNBC) is associated with worse outcomes and results in high mortality; therefore, great efforts are required to find effective…”
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DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties
Published in Journal of biomedical informatics (01-01-2023)“…The demand for the privacy-preserving survival analysis of medical data integrated from multiple institutions or countries has been increased. However, sharing…”
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Missing Value Imputation With Low-Rank Matrix Completion in Single-Cell RNA-Seq Data by Considering Cell Heterogeneity
Published in Frontiers in genetics (14-07-2022)“…Single-cell RNA-sequencing (scRNA-seq) technologies enable the measurements of gene expressions in individual cells, which is helpful for exploring cancer…”
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