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ORCIDY-h. Taguchi 0001
Person information
- affiliation: Chuo University, Tokyo, Japan
Other persons with the same name
- Yoshihiro Taguchi 0002
![[0000-0002-6391-7284]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6391-7284")
— Keio University, Yokohama, Japan
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2020 – today
- 2023
[j20]Turki Turki, Sanjiban Sekhar Roy, Y-h. Taguchi:
Optimized Tensor Decomposition and Principal Component Analysis Outperforming State-of-the-Art Methods When Analyzing Histone Modification Chromatin Immunoprecipitation Profiles. Algorithms 16(9): 401 (2023)- [j19]Turki Turki, Y-h. Taguchi:
GENEvaRX: A novel AI-driven method and web tool can identify critical genes and effective drugs for Lichen Planus. Eng. Appl. Artif. Intell. 124: 106607 (2023) - [j18]Y-h. Taguchi, Turki Turki:
Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction. Frontiers Artif. Intell. 6 (2023) - 2021
- [j17]Turki Turki, Y-h. Taguchi:
Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application. Comput. Biol. Medicine 132: 104257 (2021) - [j16]Y-h. Taguchi, Turki Turki:
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. 15(3): 746-758 (2021) - [j15]Y-h. Taguchi, Turki Turki:
Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction. Knowl. Based Syst. 217: 106834 (2021) - [c23]Turki Turki, Anmar Al-Sharif, Y-h. Taguchi:
End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images. IDEAL 2021: 343-353 - 2020
- [j14]Turki Turki, Y-h. Taguchi:
SCGRNs: Novel supervised inference of single-cell gene regulatory networks of complex diseases. Comput. Biol. Medicine 118: 103656 (2020) - [d3]Y-h. Taguchi:
Metascape results for Prostate cancer multiomics data. IEEE DataPort, 2020
- [d2]Y-h. Taguchi:
Novel Method for the Prediction of Drug-Drug Interactions Based on Gene Expression Profiles. IEEE DataPort, 2020 - [d1]Y-h. Taguchi:
Enrichment analysis for genes associated with coronavirus infection. IEEE DataPort, 2020
2010 – 2019
- 2019
- [j13]Yoshihiro Taguchi:
Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data. BMC Bioinform. 19-S(13): 27-42 (2019) - [j12]Turki Turki, Y-h. Taguchi:
Machine learning algorithms for predicting drugs-tissues relationships. Expert Syst. Appl. 127: 167-186 (2019) - [c22]Y-h. Taguchi:
Multiomics Data Analysis Using Tensor Decomposition Based Unsupervised Feature Extraction - -Comparison with DIABLO-. ICIC (1) 2019: 565-574 - [r2]Y-h. Taguchi:
Regulation of Gene Expression. Encyclopedia of Bioinformatics and Computational Biology (3) 2019: 806-813 - [r1]Y-h. Taguchi:
Comparative Transcriptomics Analysis. Encyclopedia of Bioinformatics and Computational Biology (3) 2019: 814-818 - 2018
- [j11]Y-h. Taguchi:
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. 19-S(4): 99:1-99:13 (2018) - [c21]Y-h. Taguchi, Ka-Lok Ng:
Tensor Decomposition-Based Unsupervised Feature Extraction for Integrated Analysis of TCGA Data on MicroRNA Expression and Promoter Methylation of Genes in Ovarian Cancer. BIBE 2018: 195-200 - [c20]Y-h. Taguchi:
Principal Component Analysis-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis. ICIC (2) 2018: 816-826 - 2017
- [c19]Y-h. Taguchi:
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. BIBE 2017: 131-138 - [c18]Y-h. Taguchi:
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. ICIC (2) 2017: 517-528 - 2016
- [j10]Y-h. Taguchi:
Principal component analysis based unsupervised feature extraction applied to budding yeast temporally periodic gene expression. BioData Min. 9: 22 (2016) - [j9]Hideki Uosaki, Y-h. Taguchi:
Comparative Gene Expression Analysis of Mouse and Human Cardiac Maturation. Genom. Proteom. Bioinform. 14(4): 207-215 (2016) - [c17]Y-h. Taguchi:
microRNA-mRNA Interaction Identification in Wilms Tumor Using Principal Component Analysis Based Unsupervised Feature Extraction. BIBE 2016: 71-78 - 2015
- [j8]Y-h. Taguchi, Mitsuo Iwadate, Hideaki Umeyama:
Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease. BMC Bioinform. 16: 139:1-139:26 (2015) - [j7]Y-h. Taguchi:
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. 16(S18): S16 (2015) - [j6]Hideaki Umeyama, Mitsuo Iwadate, Y-h. Taguchi:
In silico Spleen Tyrosine Kinase Inhibitor Screening by ChooseLD. Inf. Media Technol. 10(4): 502-508 (2015) - [c16]Y-h. Taguchi, Mitsuo Iwadate, Hideaki Umeyama:
Heuristic principal component analysis-based unsupervised feature extraction and its application to gene expression analysis of amyotrophic lateral sclerosis data sets. CIBCB 2015: 1-10 - 2014
- [j5]Ryoichi Kinoshita, Mitsuo Iwadate, Hideaki Umeyama, Y-h. Taguchi:
Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets. BMC Syst. Biol. 8(S-1): S4 (2014) - [j4]Yuuichi Nakano, Mitsuo Iwadate, Hideaki Umeyama, Y-h. Taguchi:
Bacterial Type III Secretion System Effector Proteins are Distinct between Plant Symbiotic, Plant Pathogenic and Animal Pathogenic Bacteria. Inf. Media Technol. 9(1): 141-154 (2014) - [c15]Y-h. Taguchi:
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. ICIC (3) 2014: 445-455 - 2013
- [j3]Y-h. Taguchi:
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. 6: 11 (2013) - [c14]Shigeharu Ishida, Hideaki Umeyama, Mitsuo Iwadate, Y-h. Taguchi:
Structure Prediction with FAMS for Proteins Screened Critically to Autoimmune Diseases based upon Bioinformatics. BIOINFORMATICS 2013: 261-267 - [c13]Y-h. Taguchi:
Possible miRNA Coregulation of Target Genes in Brain Regions by Both Differential miRNA Expression and miRNA-Targeting-Specific Promoter Methylation. ICIC (3) 2013: 225-230 - 2012
- [c12]Y-h. Taguchi:
Inference of Target Gene Regulation via miRNAs during Cell Senescence by Using the MiRaGE Server. ICIC (3) 2012: 441-446 - [c11]Yoshihiro Taguchi, Akira Okamoto:
Principal Component Analysis for Bacterial Proteomic Analysis. PRIB 2012: 141-152 - 2011
- [c10]Masato Yoshizawa, Y-h. Taguchi:
Gene expression regulation during differentiation from murine ES cells due to microRNA. BIBM Workshops 2011: 948-949 - [c9]Hiromu Mogi, Y-h. Taguchi:
Protein binding prediction using non-metric multidimensional scaling method. BIBM Workshops 2011: 950-952 - [c8]Ryoichi Kinoshita, Y-h. Taguchi:
Tissue specific methylation and genotype. BIBM Workshops 2011: 953-955 - [c7]Y-h. Taguchi, Akira Okamoto:
Principal component analysis for bacterial proteomic analysis. BIBM Workshops 2011: 961-963 - [c6]Yuichi Nakano, Y-h. Taguchi:
Feature extraction for discriminance of symbiotic/parasitic bacterial type III effector protein using principal component analysis. BIBM Workshops 2011: 964-965 - [c5]Ryota Doi, Y-h. Taguchi:
The analysis of DNA shuffling by nMDS. BIBM Workshops 2011: 1012-1013 - [c4]Yoshihiro Taguchi, Jun Yasuda:
MiRaGE: Inference of Gene Expression Regulation via MicroRNA Transfection II. ICIC (3) 2011: 129-135 - 2010
- [c3]Yoshihiro Taguchi, Jun Yasuda:
Inference of Gene Expression Regulation via microRNA Transfection. ICIC (1) 2010: 672-679
2000 – 2009
- 2008
- [c2]Y-h. Taguchi, M. Michael Gromiha:
Gene Ontology term prediction based upon amino acid occurrence. IJCNN 2008: 615-620 - 2007
- [j2]Y-h. Taguchi, M. Michael Gromiha:
Application of amino acid occurrence for discriminating different folding types of globular proteins. BMC Bioinform. 8 (2007) - [c1]Yoshihiro Taguchi, M. Michael Gromiha:
Protein Fold Recognition Based Upon the Amino Acid Occurrence. PRIB 2007: 120-131 - 2005
- [j1]Y-h. Taguchi, Y. Oono:
Relational patterns of gene expression via non-metric multidimensional scaling analysis. Bioinform. 21(6): 730-740 (2005)
Coauthor Index
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