S. Kanaya

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

A Novel Bioinformatics Method for Efficient Knowledge Discovery by BLSOM from Big Genomic Sequence Data

S. Kanaya, T. Ikemura, Y. Iwasaki, 2014, BioMed research international.

A Novel Bioinformatics Strategy for Function Prediction of Poorly-Characterized Protein Genes Obtained from Metagenome Analyses

S. Kanaya, T. Abe, T. Ikemura, 2009, DNA research : an international journal for rapid publication of reports on genes and genomes.

Detection of tRNA Based on the Cloverleaf Secondary Structure

S. Kanaya, M. Kinouchi, Y. Kudo, 2000 .

MicroArray Analysis of Escherichia coli K-12 : An in silico Approach

K. Kurokawa, S. Kanaya, H. Mori, 2005 .

Spherical SOM with arbitrary number of neurons and measure of suitability

S. Kanaya, M. Altaf-Ul-Amin, K. Kurokawa, 2005 .

Discovery of inflammatory bowel disease-associated miRNAs using a novel bipartite clustering approach

Mohammad Bozlul Karim, N. Ono, S. Kanaya, 2020, BMC Medical Genomics.

metabolite content guided prediction of medicinal edible properties in plants for bioprospecting

S. Kanaya, M. Altaf-Ul-Amin, Aki Morita, 2018 .

Knowledge-Based Structural Models of SARS-CoV-2 Proteins and Their Complex with Potential Drugs

S. Kanaya, M. Ota, A. Hijikata, 2020 .

The entire organization of transcription units on the Bacillus subtilis genome

K. Kurokawa, S. Kanaya, N. Ogasawara, 2007, BMC Genomics.

[Dedicated to Prof. T. Okada and Prof. T. Nishioka: data science in chemistry]Centrality Values of Yeast Proteins in a PPI Network Are Related to Their Essentiality and Functions

S. Kanaya, M. Altaf-Ul-Amin, S. Wijaya, 2017 .

Automatic Identification of the Cardiac Rest Period Using Template Updating for Magnetic Resonance Coronary Angiography

S. Kanaya, K. Togashi, T. Okada, 2016 .

Selective regulation of pyrethrin biosynthesis by the specific blend of wound induced volatiles in Tanacetum cinerariifolium

N. Ono, S. Kanaya, Hideyuki Suzuki, 2016, Plant signaling & behavior.

Directional and reoccurring sequence change in zoonotic RNA virus genomes visualized by time-series word count

S. Kanaya, T. Ikemura, K. Wada, 2016, Scientific Reports.

Comparative Genome Analysis Focused on Periodicity from Prokaryote to Higher Eukaryote Genomes Based on Power Spectrum

S. Kanaya, T. Ikemura, A. Fukushima, 2003 .

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

S. Kanaya, M. Ota, A. Hijikata, 2020, FEBS letters.

Cheminformatics modeling of the correlation between Bupleurum Root-formula medicines and Excess and Deficiency pattern in the diagnostic criteria of Sho in Kampo (traditional Japanese medicine) by non-targeted direct infusion mass spectrometry with machine learning

S. Kanaya, Takayuki Tohge, T. Namiki, 2021, Journal of natural medicines.

Prediction of Proteolytic Process Based on N-Terminal Sequences and Molecular Weights by Proteomics and Proteome Analysis

S. Kanaya, M. Kinouchi, Y. Kudo, 2000 .

A Phylogenomic Study of the OCTase Genes in Pseudomonas syringae Pathovars: The Horizontal Transfer of the argK–tox Cluster and the Evolutionary History of OCTase Genes on Their Genomes

N. Saitou, S. Kanaya, H. Sawada, 2002, Journal of Molecular Evolution.

Metabolite annotations based on the integration of mass spectral information

S. Kanaya, Yukiko Nakamura, M. Kitayama, 2008, The Plant journal : for cell and molecular biology.

Synchronous gene expressions during embryogenesis of Oncorhynchus masou (Yamame)

S. Kanaya, Y. Kudo, C. D. Carpio, 1996, Biochemistry and molecular biology international.

Critical Involvement of Environmental Carbon Dioxide Fixation to Drive Wax Ester Fermentation in Euglena

S. Kanaya, Masanori Arita, D. Ohta, 2016, PloS one.

Divergence of metabolites in three phylogenetically close Monascus species (M. pilosus, M. ruber, and M. purpureus) based on secondary metabolite biosynthetic gene clusters

N. Ono, S. Kanaya, M. Huang, 2020, BMC Genomics.

Divergence of pigments in three phylogenetically close Monascus species (M. pilosus, M. ruber, and M. purpureus) based on secondary metabolite biosynthetic gene clusters

N. Ono, S. Kanaya, M. Altaf-Ul-Amin, 2020 .

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.

Evaluation and Interpretation of 9 Body Constitution Scores of CCMQ-J by Seven Independent Questionnaires

N. Ono, S. Kanaya, Satoshi Nakamura, 2019, Japanese Journal of Complementary and Alternative Medicine.

Prediction of Target Substrates of Transporters in Escherichia coli

S. Kanaya, H. Mori, T. Oshima, 2002 .

Applications of Network Clustering in Natural Product Research

Md. Altaf-Ul-Amin, Shigehiko Kanaya, S. Kanaya, 2020 .

Determination of Optimum Number of Groups on the Crowdsourcing Survey in Japanese People Interpreted by Physical Constitution Defined by CCMQ-J

N. Ono, S. Kanaya, Satoshi Nakamura, 2019, Japanese Journal of Complementary and Alternative Medicine.

Characterization of Bacterial and Fungal Communities in Soils under Different Farming Systems. The Cacao Plantation in Sulawesi Island—Indonesia

Muslimin, N. Ono, S. Kanaya, 2019, Eurasian Soil Science.

Examination of the regression model to quantify the degree of low back pain and lower limb symptoms in patients with lumbar disc herniation by the Japanese Orthopaedic Association Back Pain Evaluation Questionnaire (JOABPEQ)

S. Kanaya, T. Tamura, H. Fujimoto, 2020, PloS one.

Changes in mRNA stability associated with cold stress in Arabidopsis cells.

M. Hirai, S. Kanaya, S. Naito, 2013, Plant & cell physiology.

Improved production of secreted heterologous enzyme in Bacillus subtilis strain MGB874 via modification of glutamate metabolism and growth conditions

S. Kanaya, N. Ogasawara, Hiroki Takahashi, 2013, Microbial Cell Factories.

Evaluating cepharanthine analogues as natural drugs against SARS‐CoV‐2

S. Kanaya, M. Ota, T. Hirokawa, 2021, FEBS open bio.

Exploration of polar lipid accumulation profiles in Euglena gracilis using LipidBlast, an MS/MS spectral library constructed in silico

S. Kanaya, Masanori Arita, O. Fiehn, 2014, Bioscience, biotechnology, and biochemistry.

Integration of Residue Attributes for Sequence Diversity Characterization of Terpenoid Enzymes

N. Ono, S. Kanaya, M. Altaf-Ul-Amin, 2014, BioMed research international.

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

S. Kanaya, M. Altaf-Ul-Amin, I. Batubara, 2016, BMC Bioinformatics.

COVID-19 mRNA Vaccine Degradation Prediction Using LR and LGBM Algorithms

N. H. Harun, S. Kanaya, A. Abdullah, 2021 .

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.

Data Intensive Study of Accessibility of Edible Species and Healthcare Across the Globe

N. Ono, S. Kanaya, Yukiko Nakamura, 2018 .

Systems Biology in the Context of Big Data and Networks

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

Potential anti-COVID-19 agents, cepharanthine and nelfinavir, and their usage for combination treatment

Kwang Su Kim, S. Kanaya, T. Hirokawa, 2021, iScience.

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.

Databases for Natural Product Research

Shigehiko Kanaya, Ming Huang, Md. Altaf-Ul-Amin, 2020 .

Novel Approach to Classify Plants Based on Metabolite-Content Similarity

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

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

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

Curcumin Derivatives Verify the Essentiality of ROS Upregulation in Tumor Suppression

S. Kanaya, E. Meiyanto, M. Shionyu, 2019, Molecules.

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.

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.

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

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

Co-ordinated Regulations of mRNA Synthesis and Decay during Cold Acclimation in Arabidopsis Cells

S. Kanaya, S. Naito, Katsuhiko Mineta, 2017, Plant & cell physiology.

Multidrug treatment with nelfinavir and cepharanthine against COVID-19

Kwang Su Kim, K. Aihara, S. Kanaya, 2020, bioRxiv.

Chromosomes Today

S. Kanaya, Yoshihisa Watanabe, M. Ohno, 2000, Birkhäuser Basel.

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.

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.

Non-B DNA structures spatially and sequence-specifically associated with individual centromeres in the human interphase nucleus

S. Kanaya, T. Ikemura, Yoshihisa Watanabe, 2000 .

Condon usage tabulated from the international DNA sequence databases

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

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.

Integrated Metabolomics to Reveal the Impacts of Common Antibiotics based on Drug Resistance Prediction of Gut Microbiota

N. Ono, S. Kanaya, M. Altaf-Ul-Amin, 2021, bioRxiv.

Differences and similarities in the developmental status of embryo‐derived stem cells and primordial germ cells revealed by global expression profiling

S. Kanaya, T. Tada, F. Ike, 2008, Genes to cells : devoted to molecular & cellular mechanisms.

Genome-wide analyses of early translational responses to elevated temperature and high salinity in Arabidopsis thaliana.

S. Kanaya, H. Matsuura, A. Shinmyō, 2010, Plant & cell physiology.

A Glimpse to Background and Characteristics of Major Molecular Biological Networks

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

Informatics for unveiling hidden genome signatures.

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

Conservation of translation initiation sites based on dinucleotide frequency and codon usage in Escherichia coli K-12 (W3110): non-random distribution of A/T-rich sequences immediately upstream of the translation initiation codon.

S. Kanaya, H. Mori, T. Oshima, 2002, DNA research : an international journal for rapid publication of reports on genes and genomes.

Pentagamavunon-1 (PGV-1) inhibits ROS metabolic enzymes and suppresses tumor cell growth by inducing M phase (prometaphase) arrest and cell senescence

S. Kanaya, Beni Lestari, E. Meiyanto, 2019, Scientific Reports.

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.

Ketogenic diets and Alzheimer’s disease

S. Kanaya, Yukiko Nakamura, K. Lange, 2017 .

Characterization of Embryogenic Stages Based on Two-Dimensional Electrophoresis for Oncorhynchus masou Yamame: Determination of N-Terminal Sequences of Eleven Spots

S. Kanaya, Y. Kudo, R. Hiramatsu, 1998 .

Changes in Peptide Constituents during Embryogenesis of Yamame Oncorhynchus masou

S. Kanaya, Y. Kudo, K. Katsura, 1996 .

Classification of Microorganism Species Based on Volatile Metabolite Contents Similarity

S. Kanaya, A. Abdullah, A. Aziz, 2019, Journal of Physics: Conference Series.

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).

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

Mohammad Bozlul Karim, N. Ono, S. Kanaya, 2018, BMC Bioinformatics.

Aging steepens the slope of power spectrum density of 30-minute continuous blood pressure recording in healthy human subjects

S. Kanaya, K. Sunagawa, K. Saku, 2021, PloS one.

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).

Image Analysis with Machine Learning Algorithms to Assist Breast Cancer Treatment

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

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 .

Sequences from Prokaryotic, Eukaryotic, and Viral Genomes Available Clustered According to Phylotype on a Self‐Organizing Map

S. Kanaya, T. Abe, T. Ikemura, 2010 .

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

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

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

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

Metabolome analysis of Ephedra plants with different contents of ephedrine alkaloids by using UPLC-Q-TOF-MS.

S. Kanaya, Yukiko Nakamura, M. Kitayama, 2009, Planta medica.

Characterization of Genetic Signal Sequences with Batch- Learning SOM

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

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

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

Sequences from Almost All Prokaryotic, Eukaryotic, and Viral Genomes Available Could be Classified According to Genomes on a Large-Scale Self-Organizing Map Constructed with the Earth Simulator

S. Kanaya, T. Abe, T. Ikemura, 2006 .

Breakthrough Technologies Clarification of Pathway-Specific Inhibition by Fourier Transform Ion Cyclotron Resonance / Mass Spectrometry-Based Metabolic Phenotyping Studies 1 [ W ]

S. Kanaya, Yukiko Nakamura, Hideyuki Suzuki, 2006 .

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

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

PRIME : Platform for RIKEN Metabolomics

M. Hirai, S. Kanaya, Masanori Arita, 2005 .

Integrated Analysis of Gene Expression Profile and Metabolite Quantity Data of Arabidopsis thaliana Using BL-SOM

S. Kanaya, Yukiko Nakamura, Y. Shinbo, 2004 .

Gene Classification Method Based on Batch-Learning SOM

Hideo Matsuda, Takashi Abe, Yoshihiro Kudo, 1999 .

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..

Systematization of Species-Specific Diversity of Genes in Codon Usage:Comparison of the Diversity Among Bacteria and Prediction of the Protein Production Levels in Cells

S. Kanaya, Y. Kudo, T. Ikemura, 1996 .

Distribution of repetitive sequences on the leading and lagging strands of the Escherichia coli genome: comparative study of Long Direct Repeat (LDR) sequences.

S. Kanaya, H. Mori, T. Oshima, 2002, DNA research : an international journal for rapid publication of reports on genes and genomes.

Detection of Transfer RNA Based on the Cloverleaf Secondary Structure

S. Kanaya, M. Kinouchi, Y. Kudo, 2000 .

Investigating Metabolic Pathways and Networks

Md. Altaf-Ul-Amin, Zeti-Azura Mohamed-Hussein, Shigehiko Kanaya, 2019, Encyclopedia of Bioinformatics and Computational Biology.

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.

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

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

Origin of eukaryotic cell nuclei by symbiosis of Archaea in Bacteria is revealed by homology-hit analysis

S. Kanaya, T. Shinozawa, T. Horiike, 2001, Nature Cell Biology.

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

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

tRNADB-CE: tRNA gene database curated manually by experts

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

The feasibility of atrial and ventricular arrhythmias recognition using metrics of signal complexity for heartbeat intervals

Toshiyo Tamura, Ming Huang, Koshiro Kido, 2019, bioRxiv.

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.

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

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

Oviposition inhibitor in umbelliferous medicinal plants for the common yellow swallowtail (Papilio machaon)

N. Ono, S. Kanaya, Y. Morita, 2017, Journal of Natural Medicines.

Is there a role of gut microbiota in mental health?

S. Kanaya, Yukiko Nakamura, K. Lange, 2020 .

Distribution of polypurine/polypyrimidine tract sequences in the human MHC region and their possible functions

S. Kanaya, Y. Kudo, T. Ikemura, 2000 .

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.

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

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

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..

Cardiotoxicity Prediction Based on Integreted hERG Database with Molecular Convolution Model

Shigehiko Kanaya, Leighton T. Izu, Ye Chen-Izu, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A system biology approach based on metabolic biomarkers and protein–protein interactions for identifying pathways underlying schizophrenia and bipolar disorder

Shaikh Farhad Hossain, N. Ono, S. Kanaya, 2021, Scientific Reports.

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.

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 .

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..

Comparative Analysis of argK-tox Clusters and Their Flanking Regions in Phaseolotoxin-Producing Pseudomonas syringae Pathovars

S. Kanaya, H. Mori, T. Baba, 2006, Journal of Molecular Evolution.

Changes in body temperature pattern in vertebrates do not influence the codon usages of alpha-globin genes.

S. Kanaya, T. Shinozawa, H. Ota, 2002, Genes & genetic systems.

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.

Statistical Analysis of Genomic Information

Shigehiko Kanaya, Makoto Kinouchi, Atsushi Fukushima, 2000 .

Diet and medical foods in Parkinson’s disease

S. Kanaya, K. Lange, Shiming Li, 2019, Food Science and Human Wellness.

Investigation of the pharmacological effect of tokishakuyakusan by global transcriptional analysis in humans.

S. Kanaya, T. Oikawa, T. Hanawa, 2010 .

A computational and experimental approach reveals that the 5'-proximal region of the 5'-UTR has a Cis-regulatory signature responsible for heat stress-regulated mRNA translation in Arabidopsis.

S. Kanaya, T. Demura, H. Matsuura, 2013, Plant & cell physiology.

Effect of the sequence context of the AUG initiation codon on the rate of translation in dicotyledonous and monocotyledonous plant cells.

S. Kanaya, H. Matsuura, A. Shinmyō, 2010, Journal of bioscience and bioengineering.

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

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

Medical foods in Alzheimer’s disease

S. Kanaya, Yukiko Nakamura, K. Lange, 2019, Food Science and Human Wellness.

Sequential binding of SeqA protein to nascent DNA segments at replication forks in synchronized cultures of Escherichia coli

S. Kanaya, S. Hiraga, M. Yamazoe, 2004, Molecular microbiology.

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.

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.

Exploration and characterization of chemical stimulators to maximize the wax ester production by Euglena gracilis.

S. Kanaya, D. Ohta, A. Okazawa, 2021, Journal of bioscience and bioengineering.

Dietary seaweeds and obesity

S. Kanaya, Yukiko Nakamura, K. Lange, 2015 .

Motion Correction for Extracellular Volume Fraction Mapping in Cardiac MRI

S. Kanaya, C. Nomura, K. Minato, 2018 .

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).

Potential Arabidopsis thaliana glucosinolate genes identified from the co-expression modules using graph clustering approach

Mohammad Bozlul Karim, S. Kanaya, Z. Mohamed-Hussein, 2021, PeerJ.

Molecular Components of Arabidopsis Intact Vacuoles Clarified with Metabolomic and Proteomic Analyses

S. Kanaya, Yukiko Nakamura, E. Fukusaki, 2018, Plant & cell physiology.

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

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

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

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

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

Hiroki Takahashi, Shigehiko Kanaya, Aki Hirai, 2011 .

Implementation of BiClusO and its comparison with other biclustering algorithms

Md. Altaf-Ul-Amin, Mohammad Bozlul Karim, Shigehiko Kanaya, 2019, Appl. Netw. Sci..

Development and Mining of a Human Biomarker Database

Shigehiko Kanaya, Md. Altaf-Ul-Amin, Mohammad Bozlul Karim, 2020 .

Development and Mining of a Volatile Organic Compound Database

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

Discussion of Cuffless Blood Pressure Prediction Using Plethysmograph Based on a Longitudinal Experiment: Is the Individual Model Necessary?

N. Ono, S. Kanaya, T. Tamura, 2021, Life.

Embedding of Molecular Structure Using Molecular Hypergraph Variational Autoencoder with Metric Learning

Ming Huang, Shigehiko Kanaya, Md Altaf-Ul-Amin, 2020, Molecular informatics.

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.

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.

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data

N. Ono, S. Kanaya, M. Altaf-Ul-Amin, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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.

Evaluation of intercellular lipid lamellae in the stratum corneum by polarized microscopy

N. Ono, S. Kanaya, R. Morita, 2021, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

Polyunsaturated fatty acids in the treatment of attention deficit hyperactivity disorder

S. Kanaya, Yukiko Nakamura, T. Sontag, 2014 .

A novel plant classification method based on similarities in chemical structures of metabolite contents obtained from the KNApSAcK database

S. Kanaya, M. Altaf-Ul-Amin, M. Shiraishi, 2017 .

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.

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

N. Ono, S. Kanaya, Satoshi Nakamura, 2019, BMC Bioinformatics.

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 .

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 .

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).

Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network

N. Ono, S. Kanaya, T. Tamura, 2022, ArXiv.

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.

Metabolomic characterization of the possible involvement of a Cytochrome P450, CYP81F4, in the biosynthesis of indolic glucosinolate in Arabidopsis

S. Kanaya, D. Ohta, Hiroki Takahashi, 2011 .

Metabolomic Characterization of a Low Phytic Acid and High Anti-oxidative Cultivar of Turmeric

N. Ono, S. Kanaya, Masanori Arita, 2015, Natural product communications.

BiClusO: A Novel Biclustering Approach and Its Application to Species-VOC Relational Data

Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Targeted Integration of RNA-Seq and Metabolite Data to Elucidate Curcuminoid Biosynthesis in Four Curcuma Species.

N. Ono, S. Kanaya, Hideyuki Suzuki, 2015, Plant & cell physiology.

Search options of the KNApSAcK Metabolomics Search Engine for the KNApSAcK Core DB The Metabolomics

S. Kanaya, Yukiko Nakamura, M. Altaf-Ul-Amin, 2012 .

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

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

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.

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).

Partitioning a PPI Network into Overlapping Modules Constrained by High-Density and Periphery Tracking

Altaf-Ul-Amin, Shigehiko Kanaya, Masayoshi Wada, 2012 .

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 .

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

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

Current status of structure-based drug repurposing against COVID-19 by targeting SARS-CoV-2 proteins

S. Kanaya, M. Ota, A. Hijikata, 2021, Biophysics and physicobiology.

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..

A System for Visualizing Gene Expressions Using Metabolic Networks

Toshiyuki Amagasa, Shunsuke Uemura, Shigehiko Kanaya, 2003 .

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.

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

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

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.

Characterizing gene coexpression modules in Oryza sativa based on a graph-clustering approach

S. Kanaya, Masanori Arita, A. Fukushima, 2009 .

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

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

KEGGscape: a Cytoscape app for pathway data integration

S. Kanaya, K. Ono, Kozo Nishida, 2014, F1000Research.

Metabolic pathway prediction based on inclusive relation between cyclic substructures

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

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.

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).

Different repression of σ 70 -consensus-like sequences in coding regions between Escherichia coli and Bacteriophages genomes

S. Kanaya, Y. Kudo, 1993 .

Comprehensive Exploration of Target‐specific Ligands Using a Graph Convolution Neural Network

N. Ono, S. Kanaya, M. Altaf-Ul-Amin, 2019, Molecular informatics.

Graph cluster approach in identifying novel proteins and significant pathways involved in polycystic ovary syndrome.

S. Kanaya, Z. Mohamed-Hussein, M. Altaf-Ul-Amin, 2019, Reproductive biomedicine online.

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

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

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.

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

N. Ono, S. Kanaya, M. Altaf-Ul-Amin, 2014, Plant & cell physiology.

Predicting and considering properties of general polymers using incomplete dataset

N. Ono, S. Kanaya, Aki Hirai, 2020, 2020 International Symposium on Semiconductor Manufacturing (ISSM).

[Special Issue for Honor Award dedicating to Prof Kimito Funatsu](Mini-review)Meanings of the Honor Award for Prof Kimito Funatsu

Kenji Hori, Shigehiko Kanaya, Manabu Sugimoto, 2019, Journal of Computer Aided Chemistry.

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..

The Feasibility of Predicting Impending Malignant Ventricular Arrhythmias on the basis of Signal Complexity of Heartbeat Intervals

Koshiro Kido, Naoaki Ono, Zheng Chen, 2019, bioRxiv.

Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network

N. Ono, S. Kanaya, T. Tamura, 2022, ArXiv.

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 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.

Systems Agronomy Collaboration between Japanese and Indonesian Agriculture Industries focused on Potato Cultivation

Sony Hartono Wijaya, Keiichi Takeuchi, Diky Indrawibawa, 2016 .

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.

N. Ono, S. Kanaya, T. Ikemura, 2013, Plant & cell physiology.