Hasil Pencarian - Y.-H. Taguchi

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  1. 1
    microRNA Bioinformatics

    microRNA Bioinformatics oleh Y-h. Taguchi

    Diterbitkan 2022-11-01
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  2. 2
    Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data

    Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data oleh Y-h. Taguchi

    Diterbitkan 2019-02-01
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  3. 3
    Apparent microRNA-Target-specific Histone Modification in Mammalian Spermatogenesis

    Apparent microRNA-Target-specific Histone Modification in Mammalian Spermatogenesis oleh Y-H Taguchi

    Diterbitkan 2015-02-01
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  4. 4
    Identification of More Feasible MicroRNA–mRNA Interactions within Multiple Cancers Using Principal Component Analysis Based Unsupervised Feature Extraction

    Identification of More Feasible MicroRNA–mRNA Interactions within Multiple Cancers Using Principal Component Analysis Based Unsupervised Feature Extraction oleh Y-h. Taguchi

    Diterbitkan 2016-05-01
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  5. 5
    Tensor Decomposition-Based Unsupervised Feature Extraction Can Identify the Universal Nature of Sequence-Nonspecific Off-Target Regulation of mRNA Mediated by MicroRNA Transfection

    Tensor Decomposition-Based Unsupervised Feature Extraction Can Identify the Universal Nature of Sequence-Nonspecific Off-Target Regulation of mRNA Mediated by MicroRNA Transfection oleh Y.-H. Taguchi

    Diterbitkan 2018-06-01
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  6. 6
    Tensor decomposition-based and principal-component-analysis-based unsupervised feature extraction applied to the gene expression and methylation profiles in the brains of social insects with multiple castes

    Tensor decomposition-based and principal-component-analysis-based unsupervised feature extraction applied to the gene expression and methylation profiles in the brains of social in... oleh Y.-H. Taguchi

    Diterbitkan 2018-05-01
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  7. 7
    Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing.

    Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing. oleh Y-H Taguchi

    Diterbitkan 2017-01-01
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  8. 8
    Correction: Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing.

    Correction: Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing. oleh Y-H Taguchi

    Diterbitkan 2018-01-01
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  9. 9
    Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases

    Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases oleh Y.-H. Taguchi

    Diterbitkan 2017-12-01
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  10. 10
    Apparent microRNA-Target-specific Histone Modification in Mammalian Spermatogenesis

    Apparent microRNA-Target-specific Histone Modification in Mammalian Spermatogenesis oleh Y-H. Taguchi

    Diterbitkan 2015-01-01
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  11. 11
    maGENEgerZ: An Efficient Artificial Intelligence-Based Framework Can Extract More Expressed Genes and Biological Insights Underlying Breast Cancer Drug Response Mechanism

    maGENEgerZ: An Efficient Artificial Intelligence-Based Framework Can Extract More Expressed Genes and Biological Insights Underlying Breast Cancer Drug Response Mechanism oleh Turki Turki, Y-h. Taguchi

    Diterbitkan 2024-05-01
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  12. 12
    Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis

    Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis oleh Y-h. Taguchi, Turki Turki

    Diterbitkan 2022-02-01
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  13. 13
    Exploring MicroRNA Biomarkers for Parkinson’s Disease from mRNA Expression Profiles

    Exploring MicroRNA Biomarkers for Parkinson’s Disease from mRNA Expression Profiles oleh Y-h. Taguchi, Hsiuying Wang

    Diterbitkan 2018-12-01
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  14. 14
    Adapted tensor decomposition and PCA based unsupervised feature extraction select more biologically reasonable differentially expressed genes than conventional methods

    Adapted tensor decomposition and PCA based unsupervised feature extraction select more biologically reasonable differentially expressed genes than conventional methods oleh Y-h. Taguchi, Turki Turki

    Diterbitkan 2022-10-01
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  15. 15
    Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection tools

    Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection tools oleh Y-h. Taguchi, Turki Turki

    Diterbitkan 2022-01-01
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  16. 16
    A new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extraction.

    A new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extraction. oleh Y-H Taguchi, Turki Turki

    Diterbitkan 2020-01-01
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  17. 17
    Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis

    Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis oleh Y-h. Taguchi, Turki Turki

    Diterbitkan 2019-09-01
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  18. 18
    Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection tools.

    Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection tools. oleh Y-H Taguchi, Turki Turki

    Diterbitkan 2022-01-01
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  19. 19
    Principal component analysis based feature extraction approach to identify circulating microRNA biomarkers.

    Principal component analysis based feature extraction approach to identify circulating microRNA biomarkers. oleh Y-h Taguchi, Yoshiki Murakami

    Diterbitkan 2013-01-01
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  20. 20
    Effects of Collagen–Glycosaminoglycan Mesh on Gene Expression as Determined by Using Principal Component Analysis-Based Unsupervised Feature Extraction

    Effects of Collagen–Glycosaminoglycan Mesh on Gene Expression as Determined by Using Principal Component Analysis-Based Unsupervised Feature Extraction oleh Y-h. Taguchi, Turki Turki

    Diterbitkan 2021-11-01
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