Kazuhiro Takemoto

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Tatsuya AkutsuProfessor, Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityVerified email at kuicr.kyoto-u.ac.jp
Jiangning (John) SongProfessor, Biomedicine Discovery Institute, Monash UniversityVerified email at monash.edu
Takeyuki TamuraAssociate Professor, Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityVerified email at kuicr.kyoto-u.ac.jp
Hideto TakamiTokyo University of Agriculture and TechnologyVerified email at go.tuat.ac.jp
Moriya YukiDatabase Center for Life ScienceVerified email at dbcls.rois.ac.jp
Susumu GotoDatabase Center for Life Science, Research Organization of Information and SystemsVerified email at dbcls.rois.ac.jp
Wenfeng FengAssociate Professor of Computer Science, Henan Polytechnic University, ChinaVerified email at hpu.edu.cn
Fuyi LiSAiGENCI, The University of AdelaideVerified email at adelaide.edu.au
Geoff WebbProfessor, Department of Data Science and Artificial Intelligence, Monash UniversityVerified email at monash.edu
Kuo-Chen ChouGordon Life Science Institute, USAVerified email at gordonlifescience.org
Gholamreza (Reza) HaffariMonash University and Openstream AIVerified email at monash.edu
Hideki TaguchiTokyo Institute of TechnologyVerified email at bio.titech.ac.jp
Yasuo TabeiTeam Leader at RIKEN-AIPVerified email at riken.go.jp
Yoshihiro YamanishiNagoya UniversityVerified email at i.nagoya-u.ac.jp
Edouard PauwelsToulouse School of EconomicsVerified email at tse-fr.eu
Keita WatanabeKyoto prefectural university of medicineVerified email at koto.kpu-m.ac.jp
Reiji YoshimuraUniversity of Occupational and Environmental HealthVerified email at med.uoeh-u.ac.jp
Masanori Arita, 有田正規Professor, National Institute of GeneticsVerified email at nig.ac.jp
Satoshi S. NishizukaProfessor, Iwate Medical University Institute of Biomedical SciencesVerified email at iwate-med.ac.jp
Hiroyuki OgataInstitute for Chemical Research, Kyoto UniversityVerified email at kuicr.kyoto-u.ac.jp

Kazuhiro Takemoto

Kyushu Institute of Technology

Verified email at bio.kyutech.ac.jp - Homepage

Network Science Machine Learning Security Bioinformatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Difficulty in inferring microbial community structure based on co-occurrence network approaches H Hirano, K Takemoto BMC bioinformatics 20, 1-14, 2019	165	2019
Universal adversarial attacks on deep neural networks for medical image classification H Hirano, A Minagi, K Takemoto BMC medical imaging 21, 1-13, 2021	159	2021
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework J Song, F Li, K Takemoto, G Haffari, T Akutsu, KC Chou, GI Webb Journal of theoretical biology 443, 125-137, 2018	137	2018
Identification of chemogenomic features from drug–target interaction networks using interpretable classifiers Y Tabei, E Pauwels, V Stoven, K Takemoto, Y Yamanishi Bioinformatics 28 (18), i487-i494, 2012	111	2012
An automated system for evaluation of the potential functionome: MAPLE version 2.1. 0 H Takami, T Taniguchi, W Arai, K Takemoto, Y Moriya, S Goto Dna Research 23 (5), 467-475, 2016	66	2016
HSEpred: predict half-sphere exposure from protein sequences J Song, H Tan, K Takemoto, T Akutsu Bioinformatics 24 (13), 1489-1497, 2008	65	2008
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks H Hirano, K Koga, K Takemoto Plos one 15 (12), e0243963, 2020	57	2020
MAPLE 2.3. 0: an improved system for evaluating the functionomes of genomes and metagenomes W Arai, T Taniguchi, S Goto, Y Moriya, H Uehara, K Takemoto, H Ogata, ... Bioscience, biotechnology, and biochemistry 82 (9), 1515-1517, 2018	57	2018
FunSAV: predicting the functional effect of single amino acid variants using a two-stage random forest model M Wang, XM Zhao, K Takemoto, H Xu, Y Li, T Akutsu, J Song Public Library of Science 7 (8), e43847, 2012	54	2012
Correlation between structure and temperature in prokaryotic metabolic networks K Takemoto, JC Nacher, T Akutsu BMC bioinformatics 8, 1-11, 2007	51	2007
Heterogeneity in ecological mutualistic networks dominantly determines community stability W Feng, K Takemoto Scientific reports 4 (1), 5912, 2014	50	2014
Global COVID-19 transmission rate is influenced by precipitation seasonality and the speed of climate temperature warming K Chiyomaru, K Takemoto MedRxiv, 2020.04. 10.20060459, 2020	42	2020
Data integration aids understanding of butterfly–host plant networks A Muto-Fujita, K Takemoto, S Kanaya, T Nakazato, T Tokimatsu, ... Scientific Reports 7 (1), 43368, 2017	41	2017
Simple iterative method for generating targeted universal adversarial perturbations H Hirano, K Takemoto Algorithms 13 (11), 268, 2020	38	2020
Human impacts and climate change influence nestedness and modularity in food-web and mutualistic networks K Takemoto, K Kajihara PLoS One 11 (6), e0157929, 2016	38	2016
Evolving networks by merging cliques K Takemoto, C Oosawa Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 72 (4 …, 2005	38	2005
Large-scale aggregation analysis of eukaryotic proteins reveals an involvement of intrinsically disordered regions in protein folding E Uemura, T Niwa, S Minami, K Takemoto, S Fukuchi, K Machida, ... Scientific reports 8 (1), 678, 2018	37	2018
Introduction to complex networks: measures, statistical properties, and models K TAkEMOTO, C Oosawa Statistical and machine learning approaches for network analysis, 45-75, 2012	35	2012
An integrative computational framework based on a two-step random forest algorithm improves prediction of zinc-binding sites in proteins C Zheng, M Wang, K Takemoto, T Akutsu, Z Zhang, J Song PLoS One 7 (11), e49716, 2012	33	2012
Brain structural connectivity and neuroticism in healthy adults I Ueda, S Kakeda, K Watanabe, K Sugimoto, N Igata, J Moriya, ... Scientific reports 8 (1), 16491, 2018	32	2018

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