Shigehiko Kanaya

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 51

Top Topics

Biclustering Algorithms

Top Venues

Publications

Sota Kudo, Naoaki Ono, Shigehiko Kanaya, Ming Huang
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training. CoRR (2024)
Zheng Chen, Ziwei Yang, Lingwei Zhu, Peng Gao, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin
Learning vector quantized representation for cancer subtypes identification. Comput. Methods Programs Biomed. 236 (2023)
Daiki Koge, Naoaki Ono, Shigehiko Kanaya
Pre-training of Molecular GNNs as Conditional Boltzmann Generator. CoRR (2023)
Zihang Wang, Guangxian Zhu, Haohui Jia, Kenta T. Suzuki, Dafang Zhao, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
Utilizing Contrastive Predictive Coding for the Detection of Epilepsy in EEG Data. GCCE (2023)
Ahmad Kamal Nasution, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin
Investigating Potential Natural Antibiotics Plants Based on Unani Formula Using Supervised Network Analysis and Machine Learning Approach. BIBM (2023)
Daiki Koge, Naoaki Ono, Shigehiko Kanaya
Variational Autoencoding Molecular Graphs with Denoising Diffusion Probabilistic Model. CoRR (2023)
Yongxin Zhang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
Reconciling of the distances in physical space and latent feature space for complex activity modeling. LifeTech (2022)
Guang Shi, Zheng Chen, Ming Huang, Renyuan Zhang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
Algorithm Cocktail Approach for Predicting Body Constitution and Bias Recovery. LifeTech (2022)
Ahmad Kamal Nasution, Sony Hartono Wijaya, Ming Huang, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin
Prediction of Potential Natural Antibiotics based on Jamu Formula Using Machine Learning Approach. BIBE (2022)
Zheng Chen, Ziwei Yang, Lingwei Zhu, Guang Shi, Kun Yue, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin
Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder. CoRR (2022)
Tetsushi Tanaka, André Freire Cruz, Naoaki Ono, Shigehiko Kanaya
Clustering analysis of soil microbial community at global scale. Int. J. Bioinform. Res. Appl. 18 (3) (2022)
Guangxian Zhu, Huijia Wang, Ming Huang, Md. Altaf-Ul-Amin, Naoaki Ono, Shigehiko Kanaya
Straightforward Clustering and Identification of Morphological-Level Pancreatic Carcinoma. GCCE (2022)
Mahfujul Islam Rumman, Naoaki Ono, Kenoki Ohuchida, Md. Altaf-Ul-Amin, Ming Huang, Shigehiko Kanaya
Feature Extraction and Unsupervised Clustering of Histopathological Images of Pancreatic Cancer Using Information Maximization. GCCE (2022)
Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data. EMBC (2022)
Zheng Chen, Ziwei Yang, Ming Huang, Toshiyo Tamura, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
Enhancement on Model Interpretability and Sleep Stage Scoring Performance with A Novel Pipeline Based on Deep Neural Network. CoRR (2022)
Guangxian Zhu, Huijia Wang, Yirong Kan, Zheng Chen, Ming Huang, Md. Altaf-Ul-Amin, Naoaki Ono, Shigehiko Kanaya, Renyuan Zhang, Yasuhiko Nakashima
A Stochastic Coding Method of EEG Signals for Sleep Stage Classification. SOCC (2022)
Ziwei Yang, Lingwei Zhu, Chen Li, Zheng Chen, Naoki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping. BIBM (2022)
Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data. CoRR (2022)
Sota Kudo, Zheng Chen, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
Deep Learning-Based Sleep Staging with Acceleration and Heart Rate Data of a Consumer Wearable Device. LifeTech (2022)
Zheng Chen, Pei Gao, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
Feasibility Analysis of Symbolic Representation for Single-Channel EEG-Based Sleep Stages. EMBC (2021)
Márcio Freire Cruz, Naoaki Ono, Ming Huang, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Carlos Arthur Mattos Teixeira Cavalcante
Kinematics approach with neural networks for early detection of sepsis (KANNEDS). BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Mohammad Bozlul Karim, Shigehiko Kanaya, Md. Altaf-Ul-Amin
DPClusSBO: An integrated software for clustering of simple and bipartite graphs. SoftwareX 16 (2021)
Shaikh Farhad Hossain, Ming Huang, Naoaki Ono, Aki Morita, Shigehiko Kanaya, Md. Altaf-Ul-Amin
Development of a biomarker database toward performing disease classification and finding disease interrelations. Database J. Biol. Databases Curation 2021 (2021)
Zheng Chen, Ziwei Yang, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks. BIBM (2021)
Guang Shi, Zhen Chen, Shigehiko Kanaya, Md. Altaf-Ul-Amin, Naoaki Ono, Ming Huang
Prediction of Body Constitutions through Life-Style for Health Guidance. LifeTech (2021)
Yongxin Zhang, Zheng Chen, Haoyu Tian, Koshiro Kido, Naoaki Ono, Wei Chen, Toshiyo Tamura, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
A Real-Time Portable IoT System for Telework Tracking. Frontiers Digit. Health 3 (2021)
Pei Gao, Zheng Chen, Ming Huang, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin
An Approach to Construct and Validate TCM Dataset Effective against Bacterial Pneumonia. LifeTech (2021)
Ziwei Yang, Dong Wang, Zheng Chen, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer. BIBM (2021)
Pei Gao, Zheng Chen, Dong Wang, Ming Huang, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya
An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota. BIBM (2021)
Zheng Chen, Naoaki Ono, Wei Chen, Toshiyo Tamura, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals. Comput. Methods Programs Biomed. 205 (2021)
Mohammad Bozlul Karim, Ming Huang, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin
BiClusO: A Novel Biclustering Approach and Its Application to Species-VOC Relational Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (6) (2020)
Zheng Chen, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
iVAE: An Improved Deep Learning Structure for EEG Signal Characterization and Reconstruction. BIBM (2020)
Mohammad Bozlul Karim, Shigehiko Kanaya, Md. Altaf-Ul-Amin
Implementation of BiClusO and its comparison with other biclustering algorithms. Appl. Netw. Sci. 4 (1) (2019)
Koshiro Kido, Toshiyo Tamura, Naoaki Ono, Md. Altaf-Ul-Amin, Masaki Sekine, Shigehiko Kanaya, Ming Huang
A Novel CNN-Based Framework for Classification of Signal Quality and Sleep Position from a Capacitive ECG Measurement. Sensors 19 (7) (2019)
Shaikh Farhad Hossain, Ming Huang, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin
Inter Disease Relations Based on Human Biomarkers by Network Analysis. BIBE (2019)
Koshiro Kido, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang
The Feasibility of Arrhythmias Detection from A Capacitive ECG Measurement Using Convolutional Neural Network. EMBC (2019)
Ryohei Eguchi, Naoaki Ono, Aki Hirai, Tetsuo Katsuragi, Satoshi Nakamura, Ming Huang, Md. Altaf-Ul-Amin, Shigehiko Kanaya
Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks. BMC Bioinform. 20 (1) (2019)
Jieying Hu, Ming Huang, Naoaki Ono, Ye Chen-Izu, Leighton T. Izu, Shigehiko Kanaya
Cardiotoxicity Prediction Based on Integreted hERG Database with Molecular Convolution Model. BIBM (2019)
Shaikh Farhad Hossain, Sony Hartono Wijaya, Ming Huang, Irmanida Batubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin Farhad
Prediction of Plant-Disease Relations Based on Unani Formulas by Network Analysis. BIBE (2018)
Victor Andrew A. Antonio, Naoaki Ono, Akira Saito, Tetsuo Sato, Md. Altaf-Ul-Amin, Shigehiko Kanaya
Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks. Int. J. Comput. Assist. Radiol. Surg. 13 (12) (2018)
Hiroyuki Kinoshita, Hiroshi Mannoji, Keita Saku, Jumpei Mano, Tadayoshi Miyamoto, Koji Todaka, Takuya Kishi, Shigehiko Kanaya, Kenji Sunagawa
Power Spectral Analysis of Short-Term Blood Pressure Recordings for Assessing Daily Variations of Blood Pressure in Human. EMBC (2018)
Konosuke Asanou, Naoaki Ono, Chika Iwamoto, Kenoki Ohuchida, Koji Shindo, Shigehiko Kanaya
Feature extraction and Cluster analysis of Pancreatic Pathological Image Based on Unsupervised Convolutional Neural Network. BIBM (2018)
Ryohei Eguchi, Mohammad Bozlul Karim, Pingzhao Hu, Tetsuo Sato, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin
An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease. BMC Bioinform. 19 (1) (2018)
Mohammad Bozlul Karim, Shigehiko Kanaya, Md. Altaf-Ul-Amin
Comparison of BiClusO with Five Different Biclustering Algorithms Using Biological and Synthetic Data. COMPLEX NETWORKS (2) (2018)
Nozomu Sakurai, Takafumi Narise, Joon-Soo Sim, Chang-Muk Lee, Chiaki Ikeda, Nayumi Akimoto, Shigehiko Kanaya
UC2 search: using unique connectivity of uncharged compounds for metabolite annotation by database searching in mass spectrometry-based metabolomics. Bioinform. 34 (4) (2018)
Zunyi Tang, Toshiyo Tamura, Masaki Sekine, Ming Huang, Wenxi Chen, Masaki Yoshida, Kaoru Sakatani, Hiroshi Kobayashi, Shigehiko Kanaya
A Chair-Based Unobtrusive Cuffless Blood Pressure Monitoring System Based on Pulse Arrival Time. IEEE J. Biomed. Health Informatics 21 (5) (2017)
Ming Huang, Toshiyo Tamura, Zunyi Tang, Wenxi Chen, Shigehiko Kanaya
A Wearable Thermometry for Core Body Temperature Measurement and Its Experimental Verification. IEEE J. Biomed. Health Informatics 21 (3) (2017)
Nelson Kibinge, Naoaki Ono, Masafumi Horie, Tetsuo Sato, Tadao Sugiura, Md. Altaf-Ul-Amin, Akira Saito, Shigehiko Kanaya
Integrated pathway-based transcription regulation network mining and visualization based on gene expression profiles. J. Biomed. Informatics 61 (2016)
Ming Huang, Toshiyo Tamura, Zunyi Tang, Wenxi Chen, Shigehiko Kanaya
Structural Optimization of a Wearable Deep Body Thermometer: From Theoretical Simulation to Experimental Verification. J. Sensors 2016 (2016)
Sony Hartono Wijaya, Farit Mochamad Afendi, Irmanida Batubara, Latifah K. Darusman, Md. Altaf-Ul-Amin, Shigehiko Kanaya
Finding an appropriate equation to measure similarity between binary vectors: case studies on Indonesian and Japanese herbal medicines. BMC Bioinform. 17 (2016)
Ming Huang, Toshiyo Tamura, Takumi Yoshimura, Tadahiro Tsuchikawa, Shigehiko Kanaya
Wearable deep body thermometers and their uses in continuous monitoring for daily healthcare. EMBC (2016)
Ming Huang, Toshiyo Tamura, Wenxi Chen, Naoaki Ono, Tetsuo Sato, Shigehiko Kanaya
Evaluation of a noninvasive deep body thermometer in measurement of specific positions. EMBC (2015)
Ming Huang, Toshiyo Tamura, Wenxi Chen, Keiichiro Kitamura, Tetsu Nemoto, Shigehiko Kanaya
Characterization of ultradian and circadian rhythms of core body temperature based on wavelet analysis. EMBC (2014)
Ming Huang, Toshiyo Tamura, Wenxi Chen, Keiichiro Kitamura, Tetsu Nemoto, Shigehiko Kanaya
Geometrical Improvement of a Noninvasive Core Temperature Thermometer based on Numeric Modeling and Experiment Validation. BIODEVICES (2014)
Kozo Nishida, Keiichiro Ono, Shigehiko Kanaya, Koichi Takahashi
KEGGscape: a Cytoscape app for pathway data integration. F1000Research 3 (2014)
Kansuporn Sriyudthsak, Yuji Sawada, Yukako Chiba, Yui Yamashita, Shigehiko Kanaya, Hitoshi Onouchi, Toru Fujiwara, Satoshi Naito, Eberhard O. Voit, Fumihide Shiraishi, Masami Y. Hirai
A U-system approach for predicting metabolic behaviors and responses based on an alleged metabolic reaction network. BMC Syst. Biol. 8 (S-5) (2014)
Nozomu Sakurai, Takeshi Ara, Shigehiko Kanaya, Yukiko Nakamura, Yoko Iijima, Mitsuo Enomoto, Takeshi Motegi, Koh Aoki, Hideyuki Suzuki, Daisuke Shibata
An application of a relational database system for high-throughput prediction of elemental compositions from accurate mass values. Bioinform. 29 (2) (2013)
Shingo Kikugawa, Kensaku Nishikata, Katsuhiko Murakami, Yoshiharu Sato, Mami Suzuki, Md. Altaf-Ul-Amin, Shigehiko Kanaya, Tadashi Imanishi
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. 6 (S-2) (2012)
Takashi Abe, Toshimichi Ikemura, Junichi Sugahara, Akio Kanai, Yasuo Ohara, Hiroshi Uehara, Makoto Kinouchi, Shigehiko Kanaya, Yuko Yamada, Akira Muto, Hachiro Inokuchi
tRNADB-CE 2011: tRNA gene database curated manually by experts. Nucleic Acids Res. 39 (Database-Issue) (2011)
Hiroki Takahashi, Takuya Morimoto, Naotake Ogasawara, Shigehiko Kanaya
AMDORAP: Non-targeted metabolic profiling based on high-resolution LC-MS. BMC Bioinform. 12 (2011)
Onuma Chumsakul, Hiroki Takahashi, Taku Oshima, Takahiro Hishimoto, Shigehiko Kanaya, Naotake Ogasawara, Shu Ishikawa
transition state regulator AbrB and its homolog Abh reveals their interactive role in transcriptional regulation. Nucleic Acids Res. 39 (2) (2011)
Farit Mochamad Afendi, Latifah K. Darusman, Aki Hirai, Md. Altaf-Ul-Amin, Hiroki Takahashi, Kensuke Nakamura, Shigehiko Kanaya
System Biology Approach for Elucidating the Relationship Between Indonesian Herbal Plants and the Efficacy of Jamu. ICDM Workshops (2010)
Hisayuki Horai, Masanori Arita, Yuya Ojima, Yoshito Nihei, Shigehiko Kanaya, Takeshi Nishioka
Traceable Analysis of Multiple-Stage Mass Spectra through Precursor-Product Annotations. GCB (2009)
Takashi Abe, Toshimichi Ikemura, Yasuo Ohara, Hiroshi Uehara, Makoto Kinouchi, Shigehiko Kanaya, Yuko Yamada, Akira Muto, Hachiro Inokuchi
tRNADB-CE: tRNA gene database curated manually by experts. Nucleic Acids Res. 37 (Database-Issue) (2009)
Masanori Arita, Kazuhiro Suwa, Miwa Yoshimoto, Aki Hirai, Shigehiko Kanaya
Ontology Checking and Integration of Crude-Drug and Kampo Information. BMEI (2009)
Takashi Abe, Shigehiko Kanaya, Toshimichi Ikemura
Batch-Learning Self-Organizing Map for Predicting Functions of Poorly-Characterized Proteins Massively Accumulated. WSOM (2009)
Takashi Abe, Yuta Hamano, Shigehiko Kanaya, Ken-nosuke Wada, Toshimichi Ikemura
A Large-Scale Genomics Studies Conducted with Batch-Learning SOM Utilizing High-Performance Supercomputers. IWANN (1) (2009)
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, Mitsuru Yano, Naotake Ogasawara, Kazuki Saito
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model. BMC Bioinform. 8 (2007)
Hisashi Tuji, Md. Altaf-Ul-Amin, Masanori Arita, Hirokazu Nishio, Yoko Shinbo, Ken Kurokawa, Shigehiko Kanaya
Comparison of Protein Complexes Predicted from PPI Networks by DPClus and Newman Clustering Algorithms. Inf. Media Technol. 2 (1) (2007)
Hijiri Maeno, Md. Altaf-Ul-Amin, Yoko Shinbo, Ken Kurokawa, Naotake Ogasawara, Shigehiko Kanaya
Elucidating Conservation of Genes in Multiple Genomes Based on Graphs Configured by Bidirectional Best-Hit Relationships. Inf. Media Technol. 2 (1) (2007)
Md. Altaf-Ul-Amin, Yoko Shinbo, Kenji Mihara, Ken Kurokawa, Shigehiko Kanaya
Development and implementation of an algorithm for detection of protein complexes in large interaction networks. BMC Bioinform. 7 (2006)
Kinya Okada, Shigehiko Kanaya, Kiyoshi Asai
Accurate extraction of functional associations between proteins based on common interaction partners and common domains. Bioinform. 21 (9) (2005)
Md. Altaf-Ul-Amin, Toshihiro Koma, Ken Kurokawa, Shigehiko Kanaya
Prediction of Protein Functions Based on Protein-Protein Interaction Networks: A Min-Cut Approach. ICDE Workshops (2005)
Shigehiko Kanaya, Yoshihiro Kudo, Yasukazu Nakamura, Toshimichi Ikemura
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. 12 (3) (1996)
Yasukazu Nakamura, Ken-nosuke Wada, Yoshiko Wada, Hirofumi Doi, Shigehiko Kanaya, Takashi Gojobori, Toshimichi Ikemura
Condon usage tabulated from the international DNA sequence databases. Nucleic Acids Res. 24 (1) (1996)