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
porY-h Taguchi
Tensor decompositionbased unsupervised feature extraction identified the universal nature of sequencenonspecific offtarget regulation of mRNA mediated by microRNA transfection
porY-h Taguchi
Tensor decomposition based unsupervised feature extraction applied to matrix products for multiview data processing
porY-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 Drug Matrix Datasets
porY-h Taguchi
Principal component analysis based unsupervised feature extraction applied to bioinformatics analysis
porY-h Taguchi
microRNA-mRNA interaction identification in Wilms tumor using principal component analysis based unsupervised feature extraction
porY-h Taguchi
Comprehensive analysis of transcriptome andmetabolome analysis in Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma
porY-h Taguchi
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Información personal
Organización/Lugar de trabajo
Chuo UniversityUbicación
Japan, Non-US/Canada JapanOcupación
Physics Professor at Chuo UniversitySector
Education
Acerca de
My recent presentaions are here https://speakerdeck.com/tagtag Y-h. Taguchi is currently physics professor at Chuo University, Tokyo, Japan. His current interest is bioinformatics, espcially focusing on integrated analysis of epigenetic markers in order to understand gene expression regulation. His current interest is bioinformatics, espcially focusing on integrated analysis of epigenetic markers in order to understand gene expression regulation. For that, he has recently proposed principal component analysis and tensor decomposition based unsupervised feature extraction that was fully described in his recent book: https://www.springer.com/jp/book/9783030224554