Y-h. TAGUCHI

Last updated: Dec 9, 2019 at 12:49

Name	Y-h. TAGUCHI
E-mail	taggranular.com
URL	http://researchers.chuo-u.ac.jp/Profiles/7/0000674/profile.html?lang=en
Affiliation	Chuo University
Section	Faculty of Science and Engineering
Job title	Professor
Degree	Dr. Sci.(Tokyo Institute of Technology)
Research funding number	30206932
Twitter ID	Yh_Taguchi
ORCID ID	0000-0003-0867-8986

Profile

I am studying bioinformatics, especially focusing on gene expression analysis as well as multi omics data ayalysis. Currently, my primary interest is applying tensor decomposition for selecting variables in the unsupervised manner.
I have published a monograph on my research from Springer at Sep. 2019.
Unsupervised Feature Extraction Applied to Bioinformatics
http://bit.ly/31uMVTK

Research Interests

microRNA(82) , epigenome(38) , transcriptome(43) , gene expression profile(4) , feature selection(6) , In silico drug design(5) , Machine Learning(449) , tensor decomposition(2) , Nonlinear Physics(20) , Bioinformatics(273)

Research Areas

Informatics / Bioinformatics/Life informatics /

Academic & Professional Experience

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Mar 2009

Mar 2010

. European Bioinformatics Institute Visiting Professor

Apr 2006

- Professor, Department of Physics, Chuo University

Apr 1997

Mar 2006

Associate Professor, Department of Physics, Chuo University

Oct 1989

Sep 1990

Postdoctoral Fellow, Forschungszentrum Juelich GmbH

Apr 1988

Mar 1997

Assistant Professor, Department of Physics, Tokyo Institute of Technology

Education

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1988

Department of Physics, Graduate School, Division of Science and Engineering, Tokyo Institute of Technology

Committee Memberships

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Jun 2019

Today

Non-coding RNA Academic Editor

Apr 2019

Today

BMC Medical Genomics Associate Editor

Apr 2017

Today

BMC Research Notes Academic Editor

Apr 2017

Today

PLoS ONE Academic Editor

Mar 2017

Today

Medicine Academic Editor

Awards & Honors

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Sep 2019

Publons Peer Review Award 2019 (Top 1% reviewer in cross field)

Sep 2019

Publons Peer Review Award 2018 (Top 1% reviewer in Biology and Biochemistory)

Sep 2018

Publons Peer Review Award 2018 (Top 1% reviewer in cross field)

2018

InCob2018 Oral presentation award (Consolation)

2017

Best Paper Awards (Silver) of BMC Track of InCoB 2017

2014

Best Paper Awards (InCoB2014)

2013

JSBi 2013 Excellent Poster Award

Published Papers

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Investigating the energy crisis in Alzheimer disease using transcriptome study

Dharshini, S.A.P., Taguchi, Y-h., Gromiha, M.M.

Scientific Reports 9 18509 Dec 2019 [Refereed]

Tensor Decomposition Based Unsupervised Feature Extraction Applied to Bioinformatics

Y-h. TAGUCHI

APPLICATION OF OMICS, AI AND BLOCKCHAIN IN BIOINFORMATICS RESEARCH 159-188 Nov 2019

Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis

Y-h. Taguchi, Turki Turki

Frontiers in Genetics 10 864-864 Sep 2019 [Refereed]

Discovery of a Robust Gene Regulatory Network with a Complex Transcription Factor Network on Organ Cancer Cell-line RNA Sequence Data

Bharata Kalbuaji, Y-H. Taguchi, Akihiko Konagaya

Chem-Bio Informatics Journal 19(0) 32 Sep 2019 [Refereed]

Machine Learning Algorithms for Predicting Drugs–Tissues Relationships

Turki Turki, Y-h. TAGUCHI

Expert Systems with Applications 127(1) 167-186 Aug 2019 [Refereed]

Misc

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Application of tensor decomposition based unsupervised feature extraction to single cell RNA-seq analysis

Y-h. TAGUCHI

IEICE Technical Report Jan 2020

Society and Ethics in bioinformatics

Y-h. TAGUCHI

IEICE Tech. Rep. 119(329) 47-50 Dec 2019 [Invited]

How well can serum miRNAs diagnose amyotrophic lateral sclerosis patients?

Y-h. Taguchi, Hsiuying Wang

Atlas of Science Jun 2019 [Invited]

Application of Tensor Decomposition Based Unsupervised Feature Extraction to Bioinformatics

Y-h. Taguchi

IEICE Technical Report IBISML2018(90) 345-352 Oct 2018

Principal Component Analysis based unsupervised Feature Extraction applied to Bioinformatics

Y-h. Taguchi

IEICE Technical Report 17-24 Nov 2016

Books etc

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Application of Omics, AI and Blockchain in Bioinformatics Research

Y-h. TAGUCHI (Part:Contributor, Chapter 10: Tensor Decomposition Based Unsupervised Feature Extraction Applied to Bioinformatics)

World Scientific Oct 2019 ISBN:9789811203572

Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach

Y-h. TAGUCHI

Springer International Publishing Aug 2019 ISBN:9783-030224554

This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own a...

Regulatory microRNA

Y-h. Taguchi, Hsiuying Wang (Part:Editor)

MDPI Apr 2019 ISBN:978-3-03897-768-1

Encyclopedia of Bioinformatics and Computational Biology

Y-h. TAGUCHI (Part:Contributor, Regulation of Gene Expression; Comparative Transcriptomics Analysis)

Elsevier Aug 2018 ISBN:9780128114322

Computational Methods with Applications in Bioinformatics Analysis

Jeffrey J. P. Tsai , Ka-log Ng (Part:Contributor, Chapter 8: Principal component analysis based unsupervised feature extraction applied to bioinformatics analysis)

World Scientific Jun 2017 ISBN:978-9813207974

Conference Activities & Talks

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Society and Ethics in bioinformatics [Invited]

Y-h. TAGUCHI

Technical Committee on Social Implications of Technology and Information Ethics (SITE) 6 Dec 2019

Application of tensor decomposition based unsupervised feature extraction to multi-omics data analysis

Y-h. Taguchi

The 42th Annual Meeting of the Molecular Biology Society of Japan 3 Dec 2019 the Molecular Biology Society of Japan

We have developed tensor decomposition based unsupervised feature extraction and applied it to various mulit-omics analysis. In this poster, we will discuss some of recent applications

Tensor decomposition based unsupervised feature extraction applied to bioinformatics [Invited]

Y-h. TAGUCHI

PreMed'19 31 Oct 2019

Application of tensor decomposition based unsupervised feature extraction to multi- omics data set [Invited]

Y-h. TAGUCHI

BioInfOMICS2019 26 Oct 2019

Download

Application of tensor decomposition to multi omics data analysis for medicine

Y-h. TAGUCHI

1st PharmaLab JAPAN 4 Jul 2019 REED

Tensor decomposition based unsupervised feature extraction was applied to bioinformatics. We can perform multiomics data analysis, biomarker identification, AI-oriented drug discovery from gene expression, inference of disease causing genes

Association Memberships

Japanese Cancer Association(346) , The Japanese Society of Gastroenterology(156) , The RNA Society of Japan(127) , The Japanese Society for Bioinformatics(10) , Information Processing Society of Japan(1910) , The Physical Society of Japan(2443)

Works

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Application of tensor decomposition based unsupervised feature extraction to bioinformatics

Apr 2017

Guest Editor of Special Issue "MicroRNA Regulation" in International Journal of Molecular Science

Apr 2015

International Whos Who in Professional Management (2000)

Jan 2000

Research Grants & Projects

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Application tensor decomposition based unsupervised feature extraction to histone modification analysis

JSPS: Grant-in-Aid for Scientific Research

Project Year: Jul 2019 - Mar 2021 Investigator(s): Y-h. TAGUCHI

Tensor decomposition based unsupervised feature extraction applied to bioinformatics

Japan Society for the Promotion of Science: Grant-in-Aid for Scientific Research

Project Year: Apr 2017 - Mar 2020 Investigator(s): Y-h. Taguchi

Development of extensive analyses methods of tumor and cell differentiation related miRNA using

Japan Society for the Promotion of Science: Grant-in-Aid for Scientific Research

Project Year: Apr 2012 - Mar 2015 Investigator(s): Y-h. Taguchi, Jun Yasuda

Drug Discovery based on protein function prediction by FAMS

Project Year: 2013 - 2015