Y-h. Taguchi

Orcid: 0000-0003-0867-8986

Affiliations:
  • Chuo University, Tokyo, Japan


According to our database1, Y-h. Taguchi authored at least 46 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction.
Frontiers Artif. Intell., February, 2023

GENEvaRX: A novel AI-driven method and web tool can identify critical genes and effective drugs for Lichen Planus.
Eng. Appl. Artif. Intell., 2023

Optimized Tensor Decomposition and Principal Component Analysis Outperforming State-of-the-Art Methods When Analyzing Histone Modification Chromatin Immunoprecipitation Profiles.
Algorithms, 2023

2021
Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction.
Knowl. Based Syst., 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.
IEEE J. Sel. Top. Signal Process., 2021

Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application.
Comput. Biol. Medicine, 2021

End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

2020
Metascape results for Prostate cancer multiomics data.
Dataset, July, 2020

Enrichment analysis for genes associated with coronavirus infection.
Dataset, June, 2020

Novel Method for the Prediction of Drug-Drug Interactions Based on Gene Expression Profiles.
Dataset, June, 2020

SCGRNs: Novel supervised inference of single-cell gene regulatory networks of complex diseases.
Comput. Biol. Medicine, 2020

2019
Comparative Transcriptomics Analysis.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

Regulation of Gene Expression.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

Machine learning algorithms for predicting drugs-tissues relationships.
Expert Syst. Appl., 2019

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

Multiomics Data Analysis Using Tensor Decomposition Based Unsupervised Feature Extraction - -Comparison with DIABLO-.
Proceedings of the Intelligent Computing Theories and Application, 2019

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.
BMC Bioinform., 2018

Principal Component Analysis-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis.
Proceedings of the Intelligent Computing Theories and Application, 2018

Tensor Decomposition-Based Unsupervised Feature Extraction for Integrated Analysis of TCGA Data on MicroRNA Expression and Promoter Methylation of Genes in Ovarian Cancer.
Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018

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.
Proceedings of the Intelligent Computing Theories and Application, 2017

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.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016
Comparative Gene Expression Analysis of Mouse and Human Cardiac Maturation.
Genom. Proteom. Bioinform., 2016

Principal component analysis based unsupervised feature extraction applied to budding yeast temporally periodic gene expression.
BioData Min., 2016

microRNA-mRNA Interaction Identification in Wilms Tumor Using Principal Component Analysis Based Unsupervised Feature Extraction.
Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

2015
Identification of aberrant gene expression associated with aberrant promoter methylation in primordial germ cells between E13 and E16 rat F3 generation vinclozolin lineage.
BMC Bioinform., December, 2015

Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease.
BMC Bioinform., 2015

Heuristic principal component analysis-based unsupervised feature extraction and its application to gene expression analysis of amyotrophic lateral sclerosis data sets.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

2014
Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets.
BMC Syst. Biol., 2014

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.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

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

Possible miRNA Coregulation of Target Genes in Brain Regions by Both Differential miRNA Expression and miRNA-Targeting-Specific Promoter Methylation.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

Structure Prediction with FAMS for Proteins Screened Critically to Autoimmune Diseases based upon Bioinformatics.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

2012
Principal Component Analysis for Bacterial Proteomic Analysis.
Proceedings of the Pattern Recognition in Bioinformatics, 2012

Inference of Target Gene Regulation via miRNAs during Cell Senescence by Using the MiRaGE Server.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

2011
A Fusion-Spliced Near-Field Optical Fiber Probe Using Photonic Crystal Fiber for Nanoscale Thermometry Based on Fluorescence-Lifetime Measurement of Quantum Dots.
Sensors, 2011

MiRaGE: Inference of Gene Expression Regulation via MicroRNA Transfection II.
Proceedings of the Bio-Inspired Computing and Applications, 2011

Gene expression regulation during differentiation from murine ES cells due to microRNA.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Feature extraction for discriminance of symbiotic/parasitic bacterial type III effector protein using principal component analysis.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Protein binding prediction using non-metric multidimensional scaling method.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Tissue specific methylation and genotype.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

The analysis of DNA shuffling by nMDS.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
Inference of Gene Expression Regulation via microRNA Transfection.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

2008
Gene Ontology term prediction based upon amino acid occurrence.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Application of amino acid occurrence for discriminating different folding types of globular proteins.
BMC Bioinform., 2007

Protein Fold Recognition Based Upon the Amino Acid Occurrence.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

2005
Relational patterns of gene expression via non-metric multidimensional scaling analysis.
Bioinform., 2005


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