Shigehiko Kanaya

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Machine Learning Using H2O R Package: An Application in Bioinformatics

Azian Azamimi Abdullah, Shigehiko Kanaya, 2019 .

Ontology Checking and Integration of Crude-Drug and Kampo Information

Masanori Arita, Shigehiko Kanaya, Kazuhiro Suwa, 2009, 2009 2nd International Conference on Biomedical Engineering and Informatics.

Elucidating Conservation of Genes in Multiple Genomes Based on Graphs Configured by Bidirectional Best-Hit Relationships

Shigehiko Kanaya, Hijiri Maeno, Md. Altaf-Ul-Amin, 2006 .

Localized cell stiffness measurement using axial movement of an optically trapped microparticle

Tadao Sugiura, Shigehiko Kanaya, Mary-Clare Dy, 2013, Journal of biomedical optics.

Wearable deep body thermometers and their uses in continuous monitoring for daily healthcare

Toshiyo Tamura, Shigehiko Kanaya, Takumi Yoshimura, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A flexible representation of omic knowledge for thorough analysis of microarray data

Masakazu Satou, Kazuo Shinozaki, Kenji Akiyama, 2006, Plant Methods.

Genome-wide binding profiles of the Bacillus subtilis transition state regulator AbrB and its homolog Abh reveals their interactive role in transcriptional regulation

Hiroki Takahashi, Shigehiko Kanaya, Naotake Ogasawara, 2010, Nucleic Acids Res..

SS-mPMG and SS-GA: tools for finding pathways and dynamic simulation of metabolic networks.

Keiichi Yasumoto, Yuji Sawada, Fumihide Shiraishi, 2013, Plant & cell physiology.

Characterization of ultradian and circadian rhythms of core body temperature based on wavelet analysis

Toshiyo Tamura, Shigehiko Kanaya, Wenxi Chen, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks

Akira Saito, Naoaki Ono, Shigehiko Kanaya, 2018, International Journal of Computer Assisted Radiology and Surgery.

Batch-Learning Self-Organizing Map for Predicting Functions of Poorly-Characterized Proteins Massively Accumulated

Toshimichi Ikemura, Takashi Abe, Shigehiko Kanaya, 2009, WSOM.

An application of a relational database system for high-throughput prediction of elemental compositions from accurate mass values

Hideyuki Suzuki, Nozomu Sakurai, Daisuke Shibata, 2013, Bioinform..

Comparison of Protein Complexes Predicted from PPI Networks by DPClus and Newman Clustering Algorithms

Masanori Arita, Shigehiko Kanaya, Md. Altaf-Ul-Amin, 2006 .

Database for crude drugs and Kampo medicine.

Masanori Arita, Shigehiko Kanaya, Ken Tanaka, 2011, Genome informatics. International Conference on Genome Informatics.

Finding an appropriate equation to measure similarity between binary vectors: case studies on Indonesian and Japanese herbal medicines

Sony Hartono Wijaya, Shigehiko Kanaya, Md. Altaf-Ul-Amin, 2016, BMC Bioinformatics.

Condon usage tabulated from the international DNA sequence databases

Toshimichi Ikemura, Takashi Gojobori, Yasukazu Nakamura, 1996, Nucleic Acids Res..

A Wearable Thermometry for Core Body Temperature Measurement and Its Experimental Verification

Toshiyo Tamura, Shigehiko Kanaya, Wenxi Chen, 2017, IEEE Journal of Biomedical and Health Informatics.

Systems Biology in the Context of Big Data and Networks

Shigehiko Kanaya, Md. Altaf-Ul-Amin, Farit Mochamad Afendi, 2014, BioMed research international.

Inter Disease Relations Based on Human Biomarkers by Network Analysis

Ming Huang, Shigehiko Kanaya, Shaikh Farhad Hossain, 2019, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE).

Prediction of Protein Functions Based on Protein-Protein Interaction Networks: A Min-Cut Approach

Shigehiko Kanaya, Md. Altaf-Ul-Amin, Ken Kurokawa, 2005, 21st International Conference on Data Engineering Workshops (ICDEW'05).

Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model

Masami Y. Hirai, Kazuki Saito, Shigehiko Kanaya, 2007, BMC Bioinformatics.

A Chair–Based Unobtrusive Cuffless Blood Pressure Monitoring System Based on Pulse Arrival Time

Toshiyo Tamura, Hiroshi Kobayashi, Masaki Sekine, 2017, IEEE Journal of Biomedical and Health Informatics.

UC2 search: using unique connectivity of uncharged compounds for metabolite annotation by database searching in mass spectrometry-based metabolomics

Nozomu Sakurai, Shigehiko Kanaya, Chiaki Ikeda, 2017, Bioinform..

Metabolonote: A Wiki-Based Database for Managing Hierarchical Metadata of Metabolome Analyses

Nozomu Sakurai, Daisuke Shibata, Takaaki Nishioka, 2015, Front. Bioeng. Biotechnol..

System Biology Approach for Elucidating the Relationship Between Indonesian Herbal Plants and the Efficacy of Jamu

Shigehiko Kanaya, Hiroki Takahashi, Aki Hirai, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Power Spectral Analysis of Short-Term Blood Pressure Recordings for Assessing Daily Variations of Blood Pressure in Human

Kenji Sunagawa, Shigehiko Kanaya, Keita Saku, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease

Naoaki Ono, Pingzhao Hu, Shigehiko Kanaya, 2018, BMC Bioinformatics.

Integrated pathway-based transcription regulation network mining and visualization based on gene expression profiles

Naoaki Ono, Tadao Sugiura, Shigehiko Kanaya, 2016, J. Biomed. Informatics.

tRNADB-CE 2011: tRNA gene database curated manually by experts

Toshimichi Ikemura, Takashi Abe, Shigehiko Kanaya, 2010, Nucleic Acids Res..

Species‐Metabolite Relation Database KNApSAcK and Its Multifaceted Retrieval System, KNApSAcK Family

Hiroki Takahashi, Shigehiko Kanaya, Aki Hirai, 2011 .

Prediction of Plant-Disease Relations Based on Unani Formulas by Network Analysis

Sony Hartono Wijaya, Shigehiko Kanaya, Ming Huang, 2018, 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE).

Comparison of BiClusO with Five Different Biclustering Algorithms Using Biological and Synthetic Data

Shigehiko Kanaya, Md. Altaf-Ul-Amin, Mohammad Bozlul Karim, 2018, COMPLEX NETWORKS.

Big Data and Network Biology 2016

Shigehiko Kanaya, Farit Mochamad Afendi, Md Altaf-Ul-Amin, 2017, BioMed research international.

Evaluation of a noninvasive deep body thermometer in measurement of specific positions

Toshiyo Tamura, Naoaki Ono, Shigehiko Kanaya, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A System for Visualizing Gene Expressions Using Metabolic Networks

Toshiyuki Amagasa, Shunsuke Uemura, Shigehiko Kanaya, 2003 .

PCDq: human protein complex database with quality index which summarizes different levels of evidences of protein complexes predicted from H-Invitational protein-protein interactions integrative dataset

Katsuhiko Murakami, Yoshiharu Sato, Mami Suzuki, 2012, BMC Systems Biology.

Feature extraction and Cluster analysis of Pancreatic Pathological Image Based on Unsupervised Convolutional Neural Network

Naoaki Ono, Kenoki Ohuchida, Shigehiko Kanaya, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Geometrical Improvement of a Noninvasive Core Temperature Thermometer based on Numeric Modeling and Experiment Validation

Toshiyo Tamura, Shigehiko Kanaya, Wenxi Chen, 2014, BIODEVICES.

A Novel CNN-Based Framework for Classification of Signal Quality and Sleep Position from a Capacitive ECG Measurement

Toshiyo Tamura, Koshiro Kido, Naoaki Ono, 2019, Sensors.

AMDORAP: Non-targeted metabolic profiling based on high-resolution LC-MS

Hiroki Takahashi, Shigehiko Kanaya, Naotake Ogasawara, 2011, BMC Bioinformatics.

MODELLING INGREDIENT OF JAMU TO PREDICT ITS EFFICACY

Hiroki Takahashi, Shigehiko Kanaya, Aki Hirai, 2010 .

Big Data and Network Biology

Shigehiko Kanaya, Md. Altaf-Ul-Amin, Samuel Kuria Kiboi, 2014, BioMed research international.

Prediction of Biological Activities of Volatile Metabolites Using Molecular Fingerprints and Machine Learning Methods

Azian Azamimi Abdullah, Shigehiko Kanaya, S. Kanaya, 2018 .

Traceable Analysis of Multiple-Stage Mass Spectra through Precursor-Product Annotations

Masanori Arita, Shigehiko Kanaya, Yoshito Nihei, 2009, GCB.

A Large-Scale Genomics Studies Conducted with Batch-Learning SOM Utilizing High-Performance Supercomputers

Toshimichi Ikemura, Takashi Abe, Shigehiko Kanaya, 2009, IWANN.

A U-system approach for predicting metabolic behaviors and responses based on an alleged metabolic reaction network

Toru Fujiwara, Yuji Sawada, Masami Y. Hirai, 2014, BMC Systems Biology.

Fall-Risk Classification of the Timed Up-And-Go Test with Principle Component Analysis

Shigehiko Kanaya, Masaki Yoshida, Nor Aini Zakaria, 2014 .

Detection of genes in Escherichia coli sequences determined by genome projects and prediction of protein production levels, based on multivariate diversity in codon usage

Toshimichi Ikemura, Yasukazu Nakamura, Yoshihiro Kudo, 1996, Comput. Appl. Biosci..

Spherical SOM and Arrangement of Neurons Using Helix on Sphere

Shigehiko Kanaya, Md. Altaf-Ul-Amin, Ken Kurokawa, 2006 .

Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks

Satoshi Nakamura, Naoaki Ono, Shigehiko Kanaya, 2019, BMC Bioinformatics.

Development and implementation of an algorithm for detection of protein complexes in large interaction networks

Shigehiko Kanaya, Md. Altaf-Ul-Amin, Yoko Shinbo, 2006, BMC Bioinformatics.

tRNADB-CE: tRNA gene database curated manually by experts

Toshimichi Ikemura, Takashi Abe, Shigehiko Kanaya, 2008, Nucleic Acids Res..

Accurate extraction of functional associations between proteins based on common interaction partners and common domains

Kiyoshi Asai, Shigehiko Kanaya, Kinya Okada, 2005, Bioinform..

Development of a biomarker database toward performing disease classification and finding disease interrelations

Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin, 2021, Database J. Biol. Databases Curation.

Image Analysis with Machine Learning Algorithms to Assist Breast Cancer Treatment

Abu Asaduzzaman, Fadi N. Sibai, Shigehiko Kanaya, 2021 .

Kinematics approach with neural networks for early detection of sepsis (KANNEDS)

Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin, 2021, BMC Medical Informatics and Decision Making.

Feasibility Analysis of Symbolic Representation for Single-Channel EEG-Based Sleep Stages

Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

DPClusSBO: An integrated software for clustering of simple and bipartite graphs

Shigehiko Kanaya, Md. Altaf-Ul-Amin, Mohammad Bozlul Karim, 2021, SoftwareX.

A Real-Time Portable IoT System for Telework Tracking

Toshiyo Tamura, Koshiro Kido, Naoaki Ono, 2021, Frontiers in Digital Health.

Open data validation of a classification method of eye movement by a convolutional neural network

Shigehiko Kanaya, Takayoshi Terashita, Satoshi Kamikawa, 2021, Other Conferences.

An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks

Naoaki Ono, Shigehiko Kanaya, Md Altaf-Ul-Amin, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An Approach to Construct and Validate TCM Dataset Effective against Bacterial Pneumonia

Naoaki Ono, Shigehiko Kanaya, Ming Huang, 2021, 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech).

The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals

Toshiyo Tamura, Naoaki Ono, Shigehiko Kanaya, 2021, Comput. Methods Programs Biomed..

Prediction of Body Constitutions through Life-Style for Health Guidance

Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin, 2021, 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech).

Informatics for unveiling hidden genome signatures.

Shigehiko Kanaya, Makoto Kinouchi, Toshimichi Ikemura, 2003, Genome research.

Application of Fourier-transform ion cyclotron resonance mass spectrometry to metabolic profiling and metabolite identification.

Shigehiko Kanaya, Daisaku Ohta, S. Kanaya, 2010, Current opinion in biotechnology.

KNApSAcK family databases: integrated metabolite-plant species databases for multifaceted plant research.

Kazuki Saito, Shigehiko Kanaya, Farit Mochamad Afendi, 2012, Plant & cell physiology.

Metabolic pathway prediction based on inclusive relation between cyclic substructures

Shigehiko Kanaya, Aki Hirai, Md. Altaf-Ul-Amin, 2009 .

Evaluation of structural and thermophysical effects on the measurement accuracy of deep body thermometers based on dual-heat-flux method.

Toshiyo Tamura, Shigehiko Kanaya, Ming Huang, 2015, Journal of thermal biology.

DPClus : A Density-periphery Based Graph Clustering Software Mainly Focused on Detection of Protein Complexes in Interaction Networks

Shigehiko Kanaya, Md. Altaf-Ul-Amin, Ken Kurokawa, 2006 .

Statistical Analysis of Genomic Information

Shigehiko Kanaya, Makoto Kinouchi, Atsushi Fukushima, 2000 .

Dynamics of time-lagged gene-to-metabolite networks of Escherichia coli elucidated by integrative omics approach.

Shigehiko Kanaya, Naotake Ogasawara, Taku Oshima, 2011, Omics : a journal of integrative biology.

Mass Spectra-Based Framework for Automated Structural Elucidation of Metabolome Data to Explore Phytochemical Diversity

Yuji Sawada, Masami Y. Hirai, Kazuki Saito, 2011, Front. Plant Sci..

SVD-based Anatomy of Gene Expressions for Correlation Analysis in Arabidopsis thaliana

Masanori Arita, Shigehiko Kanaya, Masayoshi Wada, 2008, DNA research : an international journal for rapid publication of reports on genes and genomes.

KNApSAcK-3D: a three-dimensional structure database of plant metabolites.

Naoaki Ono, Shigehiko Kanaya, Yukiko Nakamura, 2013, Plant & cell physiology.

[Dedicated to Prof. T. Okada and Prof. T. Nishioka: data science in chemistry]Classification of Alkaloid Compounds Based on Subring Skeleton (SRS) Profiling: On Finding Relationship of Compounds with Metabolic Pathways

Shoji Kasahara, Naoaki Ono, Shigehiko Kanaya, 2017 .

Supervised Clustering Based on DPClusO: Prediction of Plant-Disease Relations Using Jamu Formulas of KNApSAcK Database

Sony Hartono Wijaya, Tadao Sugiura, Naoaki Ono, 2014, BioMed research international.

Novel phylogenetic studies of genomic sequence fragments derived from uncultured microbe mixtures in environmental and clinical samples.

Hideaki Sugawara, Shigehiko Kanaya, Makoto Kinouchi, 2005, DNA research : an international journal for rapid publication of reports on genes and genomes.

Knowledge‐based structural models of SARS‐CoV‐2 proteins and their complexes with potential drugs

Motonori Ota, Atsushi Hijikata, Shigehiko Kanaya, 2020, FEBS letters.

A tool for high-throughput prediction of molecular formulas and identification of isotopic peaks from large-scale mass spectrometry data

Nozomu Sakurai, Shigehiko Kanaya, Koh Aoki, 2008 .

Development and Mining of a Volatile Organic Compound Database

Tadao Sugiura, Naoaki Ono, Azian Azamimi Abdullah, 2015, BioMed research international.

Predicting conformation of protein complexes by determining statistically significant domain–domain interactions

Shigehiko Kanaya, Masayoshi Wada, Md. Altaf-Ul-Amin, 2009 .

GeneLook: a novel ab initio gene identification system suitable for automated annotation of prokaryotic sequences.

Shigehiko Kanaya, Toshimichi Ikemura, Tatsunari Nishi, 2005, Gene.

Differential metabolomics unraveling light/dark regulation of metabolic activities in Arabidopsis cell culture

Akira Oikawa, Nozomu Sakurai, Shigehiko Kanaya, 2007, Planta.

An approach to peak detection in GC-MS chromatograms and application of KNApSAcK database in prediction of candidate metabolites

Shigehiko Kanaya, Eiichiro Fukusaki, Aki Hirai, 2009 .

Consensus Genic Sequences in Bacterial rRNA-tRNA gene clusters

Shigehiko Kanaya, Yoshihiro Kudo, 1995 .

Novel Approach to Classify Plants Based on Metabolite-Content Similarity

Azian Azamimi Abdullah, Shigehiko Kanaya, Ming Huang, 2017, BioMed research international.

Transcriptome analysis of all two‐component regulatory system mutants of Escherichia coli K‐12

Takeshi Mizuno, Shigehiko Kanaya, Hirotada Mori, 2002, Molecular microbiology.

Periodicity in prokaryotic and eukaryotic genomes identified by power spectrum analysis.

Shigehiko Kanaya, Makoto Kinouchi, Atsushi Fukushima, 2002, Gene.

An Unsupervised Approach to Predict Functional Relations between Genes Based on Expression Data

Naoaki Ono, Shigehiko Kanaya, Tetsuo Katsuragi, 2014, BioMed research international.

Metabolomics of medicinal plants: the importance of multivariate analysis of analytical chemistry data.

Shigehiko Kanaya, Farit Mochamad Afendi, Md Altaf-Ul-Amin, 2010, Current computer-aided drug design.

Systems biology in a commercial quality study of the Japanese Angelica radix: toward an understanding of traditional medicinal plants.

Shigehiko Kanaya, Takashi Hashimoto, Eiichiro Fukusaki, 2011, The American journal of Chinese medicine.

Dynamic transcriptional and metabolic responses in yeast adapting to temperature stress.

Dirk Walther, Shigehiko Kanaya, Joachim Kopka, 2010, Omics : a journal of integrative biology.

KAREIDMAP: A System for Predicting and Mining Gene Regulatory Networks

Hironori Mizuguchi, Dai Kusui, Shigehiko Kanaya, 2003 .

A Glimpse to Background and Characteristics of Major Molecular Biological Networks

Shigehiko Kanaya, Md. Altaf-Ul-Amin, Tetsuo Katsuragi, 2015, BioMed research international.

Metabolomic Studies of Indonesian Jamu Medicines: Prediction of Jamu Efficacy and Identification of Important Metabolites

Sony Hartono Wijaya, Shigehiko Kanaya, Md Altaf-Ul-Amin, 2017, Molecular informatics.

Detection of periodicity in eukaryotic genomes on the basis of power spectrum analysis.

Shigehiko Kanaya, Atsushi Fukushima, Hirotada Mori, 2002, Genome informatics. International Conference on Genome Informatics.

Overproduction of Escherichia coli DNA polymerase DinB (Pol IV) inhibits replication fork progression and is lethal

Shigehiko Kanaya, Takehiko Nohmi, Tetsuya Mori, 2008, Molecular microbiology.

Assessment of Metabolome Annotation Quality: A Method for Evaluating the False Discovery Rate of Elemental Composition Searches

Akira Oikawa, Kazuki Saito, Masami Yokota Hirai, 2009, PloS one.

Multivariate Analysis of Analytical Chemistry Data and Utility of the KNApSAcK Family Database to Understand Metabolic Diversity in Medicinal Plants

Shigehiko Kanaya, Aki Hirai, Farit Mochamad Afendi, 2013 .

Statistical Analysis of Genomic Information: Various Periodicities in DNA Sequence

Shigehiko Kanaya, Makoto Kinouchi, Atsushi Fukushima, 2001 .

KNApSAcK Metabolite Activity Database for retrieving the relationships between metabolites and biological activities.

Tadao Sugiura, Naoaki Ono, Shigehiko Kanaya, 2014, Plant & cell physiology.

Data Mining Methods for Omics and Knowledge of Crude Medicinal Plants toward Big Data Biology

Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin, 2013, Computational and structural biotechnology journal.

Efficacy prediction of jamu formulations by PLS modeling.

Shigehiko Kanaya, Md Altaf-Ul-Amin, Aki Hirai Morita, 2013, Current computer-aided drug design.

Prediction of Japanese green tea ranking by fourier transform near-infrared reflectance spectroscopy.

Shigehiko Kanaya, Eiichiro Fukusaki, Akio Kobayashi, 2007, Journal of agricultural and food chemistry.

Codon Usage and tRNA Genes in Eukaryotes: Correlation of Codon Usage Diversity with Translation Efficiency and with CG-Dinucleotide Usage as Assessed by Multivariate Analysis

Shigehiko Kanaya, Makoto Kinouchi, Yuko Yamada, 2001, Journal of Molecular Evolution.

Characterization of Genetic Signal Sequences with Batch- Learning SOM

Shigehiko Kanaya, Toshimichi Ikemura, S. Kanaya, 2007 .

Clustering of 3D‐Structure Similarity Based Network of Secondary Metabolites Reveals Their Relationships with Biological Activities

Tadao Sugiura, Ming Huang, Naoaki Ono, 2014, Molecular informatics.

Systematization of the protein sequence diversity in enzymes related to secondary metabolic pathways in plants, in the context of big data biology inspired by the KNApSAcK motorcycle database.

Naoaki Ono, Shigehiko Kanaya, Toshimichi Ikemura, 2013, Plant & cell physiology.

The dynamic balance of import and export of zinc in Escherichia coli suggests a heterogeneous population response to stress

Shigehiko Kanaya, Dov J. Stekel, Naotake Ogasawara, 2015, Journal of The Royal Society Interface.

Metabolomics approach for determining growth-specific metabolites based on Fourier transform ion cyclotron resonance mass spectrometry

Shigehiko Kanaya, Md. Altaf-Ul-Amin, Ken Kurokawa, 2008, Analytical and bioanalytical chemistry.

Metabolic profiling of flavonoids in Lotus japonicus using liquid chromatography Fourier transform ion cyclotron resonance mass spectrometry.

Yoshiyuki Ogata, Nozomu Sakurai, Shigehiko Kanaya, 2008, Phytochemistry.