Relational patterns of gene expression via non-metric multidimensional scaling analysis. - Y-h. Taguchi 001; Y. Oono (Bioinform., 2005)

Protein Fold Recognition Based Upon the Amino Acid Occurrence. - Yoshihiro Taguchi 001; M. Michael Gromiha (PRIB, 2007)

Application of amino acid occurrence for discriminating different folding types of globular proteins. - Y-h. Taguchi 001; M. Michael Gromiha (BMC Bioinform., 2007)

Gene Ontology term prediction based upon amino acid occurrence. - Y-h. Taguchi 001; M. Michael Gromiha (IJCNN, 2008)

Inference of Gene Expression Regulation via microRNA Transfection. - Yoshihiro Taguchi 001; Jun Yasuda (ICIC (1), 2010)

The analysis of DNA shuffling by nMDS. - Ryota Doi; Y-h. Taguchi 001 (BIBM Workshops, 2011)

Tissue specific methylation and genotype. - Ryoichi Kinoshita; Y-h. Taguchi 001 (BIBM Workshops, 2011)

Protein binding prediction using non-metric multidimensional scaling method. - Hiromu Mogi; Y-h. Taguchi 001 (BIBM Workshops, 2011)

Feature extraction for discriminance of symbiotic/parasitic bacterial type III effector protein using principal component analysis. - Yuichi Nakano; Y-h. Taguchi 001 (BIBM Workshops, 2011)

Principal component analysis for bacterial proteomic analysis. - Y-h. Taguchi 001; Akira Okamoto (BIBM Workshops, 2011)

Gene expression regulation during differentiation from murine ES cells due to microRNA. - Masato Yoshizawa; Y-h. Taguchi 001 (BIBM Workshops, 2011)

MiRaGE: Inference of Gene Expression Regulation via MicroRNA Transfection II. - Yoshihiro Taguchi 001; Jun Yasuda (ICIC (3), 2011)

Inference of Target Gene Regulation via miRNAs during Cell Senescence by Using the MiRaGE Server. - Y-h. Taguchi 001 (ICIC (3), 2012)

Structure Prediction with FAMS for Proteins Screened Critically to Autoimmune Diseases based upon Bioinformatics. - Shigeharu Ishida; Hideaki Umeyama; Mitsuo Iwadate; Y-h. Taguchi 001 (BIOINFORMATICS, 2013)

Possible miRNA Coregulation of Target Genes in Brain Regions by Both Differential miRNA Expression and miRNA-Targeting-Specific Promoter Methylation. - Y-h. Taguchi 001 (ICIC (3), 2013)

MicroRNA-mediated regulation of target genes in several brain regions is correlated to both microRNA-targeting-specific promoter methylation and differential microRNA expression. - Y-h. Taguchi 001 (BioData Min., 2013)

Integrative Analysis of Gene Expression and Promoter Methylation during Reprogramming of a Non-Small-Cell Lung Cancer Cell Line Using Principal Component Analysis-Based Unsupervised Feature Extraction. - Y-h. Taguchi 001 (ICIC (3), 2014)

Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets. - Ryoichi Kinoshita; Mitsuo Iwadate; Hideaki Umeyama; Y-h. Taguchi 001 (BMC Syst. Biol., 2014)

Bacterial Type III Secretion System Effector Proteins are Distinct between Plant Symbiotic, Plant Pathogenic and Animal Pathogenic Bacteria. - Yuuichi Nakano; Mitsuo Iwadate; Hideaki Umeyama; Y-h. Taguchi 001 (Inf. Media Technol., 2014)

Heuristic principal component analysis-based unsupervised feature extraction and its application to gene expression analysis of amyotrophic lateral sclerosis data sets. - Y-h. Taguchi 001; Mitsuo Iwadate; Hideaki Umeyama (CIBCB, 2015)

Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease. - Y-h. Taguchi 001; Mitsuo Iwadate; Hideaki Umeyama (BMC Bioinform., 2015)

In silico Spleen Tyrosine Kinase Inhibitor Screening by ChooseLD. - Hideaki Umeyama; Mitsuo Iwadate; Y-h. Taguchi 001 (Inf. Media Technol., 2015)

Identification of aberrant gene expression associated with aberrant promoter methylation in primordial germ cells between E13 and E16 rat F3 generation vinclozolin lineage. - Y-h. Taguchi 001 (BMC Bioinform., 2015)

microRNA-mRNA Interaction Identification in Wilms Tumor Using Principal Component Analysis Based Unsupervised Feature Extraction. - Y-h. Taguchi 001 (BIBE, 2016)

Principal component analysis based unsupervised feature extraction applied to budding yeast temporally periodic gene expression. - Y-h. Taguchi 001 (BioData Min., 2016)

Comparative Gene Expression Analysis of Mouse and Human Cardiac Maturation. - Hideki Uosaki; Y-h. Taguchi 001 (Genom. Proteom. Bioinform., 2016)

One-class Differential Expression Analysis using Tensor Decomposition-based Unsupervised Feature Extraction Applied to Integrated Analysis of Multiple Omics Data from 26 Lung Adenocarcinoma Cell Lines. - Y-h. Taguchi 001 (BIBE, 2017)

Identification of Candidate Drugs for Heart Failure Using Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Integrated Analysis of Gene Expression Between Heart Failure and DrugMatrix Datasets. - Y-h. Taguchi 001 (ICIC (2), 2017)

Tensor Decomposition-Based Unsupervised Feature Extraction for Integrated Analysis of TCGA Data on MicroRNA Expression and Promoter Methylation of Genes in Ovarian Cancer. - Y-h. Taguchi 001; Ka-Lok Ng (BIBE, 2018)

Principal Component Analysis-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis. - Y-h. Taguchi 001 (ICIC (2), 2018)

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. - Y-h. Taguchi 001 (BMC Bioinform., 2018)

Multiomics Data Analysis Using Tensor Decomposition Based Unsupervised Feature Extraction - -Comparison with DIABLO-. - Y-h. Taguchi 001 (ICIC (1), 2019)

Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data. - Yoshihiro Taguchi 001 (BMC Bioinform., 2019)

Machine learning algorithms for predicting drugs-tissues relationships. - Turki Turki; Y-h. Taguchi 001 (Expert Syst. Appl., 2019)

Regulation of Gene Expression. - Y-h. Taguchi 001 (Encyclopedia of Bioinformatics and Computational Biology (3), 2019)

Comparative Transcriptomics Analysis. - Y-h. Taguchi 001 (Encyclopedia of Bioinformatics and Computational Biology (3), 2019)

SCGRNs: Novel supervised inference of single-cell gene regulatory networks of complex diseases. - Turki Turki; Y-h. Taguchi 001 (Comput. Biol. Medicine, 2020)

Novel Method for the Prediction of Drug-Drug Interactions Based on Gene Expression Profiles. - Y-h. Taguchi 001 (IEEE DataPort, 2020)

Enrichment analysis for genes associated with coronavirus infection. - Y-h. Taguchi 001 (IEEE DataPort, 2020)

Metascape results for Prostate cancer multiomics data. - Y-h. Taguchi 001 (IEEE DataPort, 2020)

End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images. - Turki Turki; Anmar Al-Sharif; Y-h. Taguchi 001 (IDEAL, 2021)

Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application. - Turki Turki; Y-h. Taguchi 001 (Comput. Biol. Medicine, 2021)

Application of Tensor Decomposition to Gene Expression of Infection of Mouse Hepatitis Virus Can Identify Critical Human Genes and Efffective Drugs for SARS-CoV-2 Infection. - Y-h. Taguchi 001; Turki Turki (IEEE J. Sel. Top. Signal Process., 2021)

Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction. - Y-h. Taguchi 001; Turki Turki (Knowl. Based Syst., 2021)

Optimized Tensor Decomposition and Principal Component Analysis Outperforming State-of-the-Art Methods When Analyzing Histone Modification Chromatin Immunoprecipitation Profiles. - Turki Turki; Sanjiban Sekhar Roy; Y-h. Taguchi 001 (Algorithms, 2023)

GENEvaRX: A novel AI-driven method and web tool can identify critical genes and effective drugs for Lichen Planus. - Turki Turki; Y-h. Taguchi 001 (Eng. Appl. Artif. Intell., 2023)

Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction. - Y-h. Taguchi 001; Turki Turki (Frontiers Artif. Intell., 2023)

Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction. - Y-h. Taguchi 001; Turki Turki (BMC Bioinform., 2024)