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2020 – today
- 2024
[i7]Sota Kudo, Naoaki Ono, Shigehiko Kanaya, Ming Huang:
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training. CoRR abs/2402.01238 (2024)- 2023
- [j33]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: 107543 (2023) - [c35]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: 3111-3117 - [c34]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: 346-347 - [i6]Daiki Koge, Naoaki Ono, Shigehiko Kanaya:
Variational Autoencoding Molecular Graphs with Denoising Diffusion Probabilistic Model. CoRR abs/2307.00623 (2023) - [i5]Daiki Koge, Naoaki Ono, Shigehiko Kanaya:
Pre-training of Molecular GNNs as Conditional Boltzmann Generator. CoRR abs/2312.13110 (2023) - 2022
- [j32]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): 219-233 (2022) - [c33]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: 204-209 - [c32]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: 1350-1355 - [c31]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: 1113-1116 - [c30]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: 117-120 - [c29]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: 162-163 - [c28]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: 112-113 - [c27]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: 305-307 - [c26]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: 524-526 - [c25]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: 1-6 - [i4]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 abs/2204.02278 (2022) - [i3]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 abs/2204.03173 (2022) - [i2]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 abs/2207.09783 (2022) - 2021
- [j31]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) - [j30]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: 106102 (2021) - [j29]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: 643042 (2021) - [j28]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): 163 (2021) - [j27]Mohammad Bozlul Karim, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
DPClusSBO: An integrated software for clustering of simple and bipartite graphs. SoftwareX 16: 100821 (2021) - [c24]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: 848-853 - [c23]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: 2211-2216 - [c22]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: 2920-2923 - [c21]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: 5928-5931 - [c20]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: 102-103 - [c19]Guang Shi, Zheng Chen, Shigehiko Kanaya, Md. Altaf-Ul-Amin, Naoaki Ono, Ming Huang:
Prediction of Body Constitutions through Life-Style for Health Guidance. LifeTech 2021: 106-107 - 2020
- [j26]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): 1955-1965 (2020) - [c18]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: 1909-1913
2010 – 2019
- 2019
- [j25]Mohammad Bozlul Karim, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
Implementation of BiClusO and its comparison with other biclustering algorithms. Appl. Netw. Sci. 4(1): 79:1-79:15 (2019) - [j24]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): 380:1-380:13 (2019) - [j23]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): 1731 (2019) - [c17]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: 103-108 - [c16]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: 1500-1503 - [c15]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: 3494-3497 - [r1]Md. Altaf-Ul-Amin, Shigehiko Kanaya, Zeti-Azura Mohamed-Hussein:
Investigating Metabolic Pathways and Networks. Encyclopedia of Bioinformatics and Computational Biology (3) 2019: 489-503 - 2018
- [j22]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): 698-700 (2018) - [j21]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): 264:1-264:12 (2018) - [j20]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): 1905-1913 (2018) - [c14]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: 348-351 - [c13]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: 2738-2740 - [c12]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: 575-585 - [c11]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: 1-4 - 2017
- [j19]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): 708-714 (2017) - [j18]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): 1194-1205 (2017) - 2016
- [j17]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: 520:1-520:19 (2016) - [j16]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: 194-202 (2016) - [j15]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: 4828093:1-4828093:7 (2016) - [c10]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: 177-180 - 2015
- [c9]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: 4395-4398 - 2014
- [j14]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): S4 (2014) - [c8]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: 23-27 - [c7]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: 4220-4223 - [i1]Kozo Nishida, Keiichiro Ono, Shigehiko Kanaya, Koichi Takahashi:
KEGGscape: a Cytoscape app for pathway data integration. F1000Research 3: 144 (2014) - 2013
- [j13]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): 290-291 (2013) - 2012
- [j12]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): S7 (2012) - 2011
- [j11]Hiroki Takahashi, Takuya Morimoto, Naotake Ogasawara, Shigehiko Kanaya:
AMDORAP: Non-targeted metabolic profiling based on high-resolution LC-MS. BMC Bioinform. 12: 259 (2011) - [j10]Onuma Chumsakul, Hiroki Takahashi, Taku Oshima, Takahiro Hishimoto, Shigehiko Kanaya, Naotake Ogasawara, Shu Ishikawa:
Genome-wide binding profiles of the Bacillus subtilis transition state regulator AbrB and its homolog Abh reveals their interactive role in transcriptional regulation. Nucleic Acids Res. 39(2): 414-428 (2011) - [j9]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): 210-213 (2011) - 2010
- [c6]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: 661-668
2000 – 2009
- 2009
- [j8]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): 163-168 (2009) - [c5]Masanori Arita, Kazuhiro Suwa, Miwa Yoshimoto, Aki Hirai, Shigehiko Kanaya:
Ontology Checking and Integration of Crude-Drug and Kampo Information. BMEI 2009: 1-4 - [c4]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: 173-178 - [c3]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: 829-836 - [c2]Takashi Abe, Shigehiko Kanaya, Toshimichi Ikemura:
Batch-Learning Self-Organizing Map for Predicting Functions of Poorly-Characterized Proteins Massively Accumulated. WSOM 2009: 1-9 - 2007
- [j7]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) - [j6]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): 68-78 (2007) - [j5]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): 98-108 (2007) - 2006
- [j4]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: 207 (2006) - 2005
- [j3]Kinya Okada, Shigehiko Kanaya, Kiyoshi Asai:
Accurate extraction of functional associations between proteins based on common interaction partners and common domains. Bioinform. 21(9): 2043-2048 (2005) - [c1]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: 1156
1990 – 1999
- 1996
- [j2]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): 213-225 (1996) - [j1]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): 214-215 (1996)
Coauthor Index
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