Shigehiko Kanaya

According to our database1, Shigehiko Kanaya authored at least 75 papers between 1996 and 2024.

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Bibliography

2024
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training.
CoRR, 2024

2023
Learning vector quantized representation for cancer subtypes identification.
Comput. Methods Programs Biomed., June, 2023

Pre-training of Molecular GNNs as Conditional Boltzmann Generator.
CoRR, 2023

Variational Autoencoding Molecular Graphs with Denoising Diffusion Probabilistic Model.
CoRR, 2023

Utilizing Contrastive Predictive Coding for the Detection of Epilepsy in EEG Data.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

Investigating Potential Natural Antibiotics Plants Based on Unani Formula Using Supervised Network Analysis and Machine Learning Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Clustering analysis of soil microbial community at global scale.
Int. J. Bioinform. Res. Appl., 2022

Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder.
CoRR, 2022

Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network.
CoRR, 2022

A Stochastic Coding Method of EEG Signals for Sleep Stage Classification.
Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

Reconciling of the distances in physical space and latent feature space for complex activity modeling.
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Algorithm Cocktail Approach for Predicting Body Constitution and Bias Recovery.
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Deep Learning-Based Sleep Staging with Acceleration and Heart Rate Data of a Consumer Wearable Device.
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022

Straightforward Clustering and Identification of Morphological-Level Pancreatic Carcinoma.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022

Feature Extraction and Unsupervised Clustering of Histopathological Images of Pancreatic Cancer Using Information Maximization.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022

Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Prediction of Potential Natural Antibiotics based on Jamu Formula Using Machine Learning Approach.
Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2021
DPClusSBO: An integrated software for clustering of simple and bipartite graphs.
SoftwareX, 2021

Kinematics approach with neural networks for early detection of sepsis (KANNEDS).
BMC Medical Informatics Decis. Mak., 2021

A Real-Time Portable IoT System for Telework Tracking.
Frontiers Digit. Health, 2021

The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals.
Comput. Methods Programs Biomed., 2021

Development of a biomarker database toward performing disease classification and finding disease interrelations.
Database J. Biol. Databases Curation, 2021

Prediction of Body Constitutions through Life-Style for Health Guidance.
Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

An Approach to Construct and Validate TCM Dataset Effective against Bacterial Pneumonia.
Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

Feasibility Analysis of Symbolic Representation for Single-Channel EEG-Based Sleep Stages.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
BiClusO: A Novel Biclustering Approach and Its Application to Species-VOC Relational Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

iVAE: An Improved Deep Learning Structure for EEG Signal Characterization and Reconstruction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Investigating Metabolic Pathways and Networks.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

A Novel CNN-Based Framework for Classification of Signal Quality and Sleep Position from a Capacitive ECG Measurement.
Sensors, 2019

Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks.
BMC Bioinform., 2019

Implementation of BiClusO and its comparison with other biclustering algorithms.
Appl. Netw. Sci., 2019

The Feasibility of Arrhythmias Detection from A Capacitive ECG Measurement Using Convolutional Neural Network.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Cardiotoxicity Prediction Based on Integreted hERG Database with Molecular Convolution Model.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Inter Disease Relations Based on Human Biomarkers by Network Analysis.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018
Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks.
Int. J. Comput. Assist. Radiol. Surg., 2018

An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease.
BMC Bioinform., 2018

UC2 search: using unique connectivity of uncharged compounds for metabolite annotation by database searching in mass spectrometry-based metabolomics.
Bioinform., 2018

Power Spectral Analysis of Short-Term Blood Pressure Recordings for Assessing Daily Variations of Blood Pressure in Human.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Comparison of BiClusO with Five Different Biclustering Algorithms Using Biological and Synthetic Data.
Proceedings of the Complex Networks and Their Applications VII, 2018

Feature extraction and Cluster analysis of Pancreatic Pathological Image Based on Unsupervised Convolutional Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Prediction of Plant-Disease Relations Based on Unani Formulas by Network Analysis.
Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018

2017
A Chair-Based Unobtrusive Cuffless Blood Pressure Monitoring System Based on Pulse Arrival Time.
IEEE J. Biomed. Health Informatics, 2017

A Wearable Thermometry for Core Body Temperature Measurement and Its Experimental Verification.
IEEE J. Biomed. Health Informatics, 2017

2016
Structural Optimization of a Wearable Deep Body Thermometer: From Theoretical Simulation to Experimental Verification.
J. Sensors, 2016

Integrated pathway-based transcription regulation network mining and visualization based on gene expression profiles.
J. Biomed. Informatics, 2016

Finding an appropriate equation to measure similarity between binary vectors: case studies on Indonesian and Japanese herbal medicines.
BMC Bioinform., 2016

Wearable deep body thermometers and their uses in continuous monitoring for daily healthcare.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Evaluation of a noninvasive deep body thermometer in measurement of specific positions.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
KEGGscape: a Cytoscape app for pathway data integration.
F1000Research, 2014

A U-system approach for predicting metabolic behaviors and responses based on an alleged metabolic reaction network.
BMC Syst. Biol., 2014

Characterization of ultradian and circadian rhythms of core body temperature based on wavelet analysis.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Geometrical Improvement of a Noninvasive Core Temperature Thermometer based on Numeric Modeling and Experiment Validation.
Proceedings of the BIODEVICES 2014, 2014

2013
An application of a relational database system for high-throughput prediction of elemental compositions from accurate mass values.
Bioinform., 2013

2012
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.
BMC Syst. Biol., 2012

2011
Genome-wide binding profiles of the <i>Bacillus subtilis</i> transition state regulator AbrB and its homolog Abh reveals their interactive role in transcriptional regulation.
Nucleic Acids Res., 2011

tRNADB-CE 2011: tRNA gene database curated manually by experts.
Nucleic Acids Res., 2011

AMDORAP: Non-targeted metabolic profiling based on high-resolution LC-MS.
BMC Bioinform., 2011

2010
System Biology Approach for Elucidating the Relationship Between Indonesian Herbal Plants and the Efficacy of Jamu.
Proceedings of the ICDMW 2010, 2010

2009
tRNADB-CE: tRNA gene database curated manually by experts.
Nucleic Acids Res., 2009

Batch-Learning Self-Organizing Map for Predicting Functions of Poorly-Characterized Proteins Massively Accumulated.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

A Large-Scale Genomics Studies Conducted with Batch-Learning SOM Utilizing High-Performance Supercomputers.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Traceable Analysis of Multiple-Stage Mass Spectra through Precursor-Product Annotations.
Proceedings of the German Conference on Bioinformatics 2009, 2009

Ontology Checking and Integration of Crude-Drug and Kampo Information.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2007
Comparison of Protein Complexes Predicted from PPI Networks by DPClus and Newman Clustering Algorithms.
Inf. Media Technol., 2007

Elucidating Conservation of Genes in Multiple Genomes Based on Graphs Configured by Bidirectional Best-Hit Relationships.
Inf. Media Technol., 2007

Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model.
BMC Bioinform., 2007

2006
Development and implementation of an algorithm for detection of protein complexes in large interaction networks.
BMC Bioinform., 2006

2005
Accurate extraction of functional associations between proteins based on common interaction partners and common domains.
Bioinform., 2005

Prediction of Protein Functions Based on Protein-Protein Interaction Networks: A Min-Cut Approach.
Proceedings of the 21st International Conference on Data Engineering Workshops, 2005

1996
Condon usage tabulated from the international DNA sequence databases.
Nucleic Acids Res., 1996

Detection of genes in Escherichia coli sequences determined by genome projects and prediction of protein production levels, based on multivariate diversity in codon usage.
Comput. Appl. Biosci., 1996


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