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Y-h. Taguchi

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Professor

Chuo University

Japan

Research Interests

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Professors in Japan Professors in Biostatistics Biostatistics professors in Japan

Recent Grants

Grant: Close

Application of tensor decomposition based unsupervised feature extraction to histone modification analysis

Open Date: 2019-06-28

Close Date: 2021-03-31

Grant: Close

Tensor decomposition based unsupervised feature extraction applied to bioinformatics

Open Date: 2017-04-01

Close Date: 2020-03-31

Grant: Close

Omics disease biomarker discovery using a variable selection with an emphasis on variable selection stability

Open Date: 2014-04-01

Close Date: 2016-03-31

Grant: Close

変数選択安定性を重視した変数選択を用いたオミックス疾患バイオマーカー探索

Open Date: 2014-04-01

Close Date: 2016-03-31

Grant: Close

Whole-genome sequencing of clarithromycin resistant Helicobacter pylori characterizes unidentified variants of multidrug resistant efflux pump genes

Open Date: 2014-04-01

Close Date: 2017-03-31

Articles (21)

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Collaborators (2)

Turki Turki

Professor

king abdulaziz university

SAUDI ARABIA

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Hideki Ohmomo

Associate Professor

Tohoku University

JAPAN

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Y-h. Taguchi

Research Interests

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Recent Grants

Articles (21)

Reduced Detection of Human Orphan Gene Transcripts in Disease Tissue Relative to Expression- and Detection- Matched Controls

Novel 4D Tensor Decomposition-Based Approach Integrating Tri-Omics Profiling Data Can Identify Functionally Relevant Gene Clusters

Automatic Bevacizumab Response Prediction in Ovarian Cancer from Digital Pathology Images via Novel AI-Based Computational Pipeline

Interpretable integration of CITE-seq RNA and ADT profiles without explicit modality-weight tuning via tensor decomposition-based unsupervised feature extraction

Unsupervised feature selection using Bayesian Tucker decomposition

Somatostatin-Expressing Neurons Regulate Sleep Deprivation and Recovery

Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Bioinformatics

De Novo Single-Cell Biological Analysis of Drug Resistance in Human Melanoma Through a Novel Deep Learning-Powered Approach

RHO GTPase by L1 GABAergic neurons in frontal cortex and L6 glutamatergic neurons in prefrontal cortex differentiates states of unconsciousness

Novel Tensor Decomposition-Based Approach for Cell-Type Deconvolution in Visium Datasets with Reference scRNA-Seq Data Containing Multiple Minor Cell Types

Novel AI-powered computational method using tensor decomposition for identification of common optimal bin sizes when integrating multiple Hi-C datasets

Integrated analysis of human DNA methylation, gene expression, and genomic variation in iMETHYL database using kernel tensor decomposition-based unsupervised feature extraction

Investigating Neuron Degeneration in Huntington’s Disease Using RNA-Seq Based Transcriptome Study

Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction

GENEvaRX: A novel AI-driven method and web tool can identify critical genes and effective drugs for Lichen Planus

Integrated Analysis of Gene Expression and Protein–Protein Interaction with Tensor Decomposition

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

Tensor decomposition discriminates tissues using scATAC-seq

The link between gene expression and machine learning

Features extracted using tensor decomposition reflect the biological features of the temporal patterns of human blood multimodal metabolome

Principal component analysis- and tensor decomposition-based unsupervised feature extraction to select more suitable differentially methylated cytosines: Optimization of standard deviation versus state-of-the-art methods

Collaborators (2)

Turki Turki

Hideki Ohmomo

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