Kazuhiro Takemoto

发表

Identification of chemogenomic features from drug–target interaction networks using interpretable classifiers

Yasuo Tabei, Yoshihiro Yamanishi, Edouard Pauwels, 2012, Bioinform..

Climatic seasonality may affect ecological network structure: Food webs and mutualistic networks

Wenfeng Feng, Kazuhiro Takemoto, Saori Kanamaru, 2014, Biosyst..

Metabolic network modularity arising from simple growth processes.

Kazuhiro Takemoto, K. Takemoto, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Limitations of a metabolic network-based reverse ecology method for inferring host–pathogen interactions

Kazuhiro Takemoto, Kazuki Aie, K. Takemoto, 2017, BMC Bioinformatics.

M 3 : Merging Module Model for a Network with Scale-Free Properties and Modularity

Kazuhiro Takemoto, Chikoo Oosawa, 2003 .

Simple iterative method for generating targeted universal adversarial perturbations

Kazuhiro Takemoto, Hokuto Hirano, K. Takemoto, 2019, Algorithms.

Modeling for evolving biological networks with scale-free connectivity, hierarchical modularity, and disassortativity.

Kazuhiro Takemoto, Chikoo Oosawa, K. Takemoto, 2006, Mathematical biosciences.

Difficulty in inferring microbial community structure based on co-occurrence network approaches

Kazuhiro Takemoto, Hokuto Hirano, K. Takemoto, 2019, BMC Bioinformatics.

Universal adversarial attacks on deep neural networks for medical image classification

Kazuhiro Takemoto, H Hirano, A Minagi, 2020, BMC Medical Imaging.

Finding Minimum Reaction Cuts of Metabolic Networks Under a Boolean Model

Tatsuya Akutsu, Takeyuki Tamura, Kazuhiro Takemoto, 2012 .

Effects of feedback and feedforward loops on dynamics of transcriptional regulatory model networks

Kazuhiro Takemoto, Michael A. Savageau, Chikoo Oosawa, 2007, 0711.2730.

Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks

Kazuhiro Takemoto, Hokuto Hirano, Kazuki Koga, 2020, PloS one.

Modular organization of cancer signaling networks is associated with patient survivability

Kazuhiro Takemoto, Kaori Kihara, K. Takemoto, 2013, Biosyst..

Finding Minimum Reaction Cuts of Metabolic Networks Under a Boolean Model Using Integer Programming and Feedback Vertex Sets

Tatsuya Akutsu, Takeyuki Tamura, Kazuhiro Takemoto, 2010, Int. J. Knowl. Discov. Bioinform..

Prediction of Protein Folding Rates from Structural Topology and Complex Network Properties

Hong-Bin Shen, Kazuhiro Takemoto, Jiangning Song, 2010 .

Study on High-Speed Machining by End Mill. Accuracy by Contouring and Error Factors.

Hiroyasu Iwabe, Junichi Imai, Kazuhiro Takemoto, 1997 .

Origin of structural difference in metabolic networks with respect to temperature

Tatsuya Akutsu, Kazuhiro Takemoto, T. Akutsu, 2008, BMC Systems Biology.

Difference in the distribution pattern of substrate enzymes in the metabolic network of Escherichia coli, according to chaperonin requirement

Kazuhiro Takemoto, Hideki Taguchi, Tatsuya Niwa, 2011, BMC Systems Biology.

Analysis and modeling of biological networks based on statistical mechanics

Kazuhiro Takemoto, 2008 .

S10-2 On the relationship between growth environments and metabolic network modularity in prokaryotes(Session 10 Current bioinformatics: in face of the ever-increasing data,Symposium session)

Kazuhiro Takemoto, 2012 .

Measuring Structural Robustness of Metabolic Networks under a Boolean Model Using Integer Programming and Feedback Vertex Sets

Tatsuya Akutsu, Takeyuki Tamura, Kazuhiro Takemoto, 2009, 2009 International Conference on Complex, Intelligent and Software Intensive Systems.

Heterogeneity in ecological mutualistic networks dominantly determines community stability

Kazuhiro Takemoto, Wenfeng Feng, K. Takemoto, 2014, Scientific Reports.

HSEpred: predict half-sphere exposure from protein sequences

Jiangning Song, Tatsuya Akutsu, Hao Tan, 2008, Bioinform..

Habitat variability does not generally promote metabolic network modularity in flies and mammals

Kazuhiro Takemoto, K. Takemoto, Kazuhiro Takemoto, 2015, bioRxiv.

Global architecture of metabolite distributions across species and its formation mechanisms

Kazuhiro Takemoto, Kazuhiro Takemoto, 2010, Biosyst..

Heterogeneity of cells may explain allometric scaling of metabolic rate

Kazuhiro Takemoto, 2015, Biosyst..

Correlation between structure and temperature in prokaryotic metabolic networks

Tatsuya Akutsu, Jose C. Nacher, Kazuhiro Takemoto, 2007, BMC Bioinformatics.

MAPLE 2.3.0: an improved system for evaluating the functionomes of genomes and metagenomes

Susumu Goto, Yuki Moriya, Kazuhiro Takemoto, 2018, Bioscience, biotechnology, and biochemistry.

Backdoor Attacks to Deep Neural Network-Based System for COVID-19 Detection from Chest X-ray Images

Kazuhiro Takemoto, Yuki Matsuo, K. Takemoto, 2021, Applied Sciences.

Natural Images Allow Universal Adversarial Attacks on Medical Image Classification Using Deep Neural Networks with Transfer Learning

Kazuhiro Takemoto, Hokuto Hirano, Akinori Minagi, 2021, J. Imaging.

Simple black-box universal adversarial attacks on medical image classification based on deep neural networks pdf

Kazuhiro Takemoto, Kazuki Koga, K. Koga, 2021, ArXiv.

Adversarial attacks on voter model dynamics in complex networks pdf

Kazuhiro Takemoto, Katsumi Chiyomaru, 2021, ArXiv.

Evolving networks by merging cliques.

Kazuhiro Takemoto, Chikoo Oosawa, K. Takemoto, 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

Analysis of the Effect of Degree Correlation on the Size of Minimum Dominating Sets in Complex Networks

Tatsuya Akutsu, Kazuhiro Takemoto, T. Akutsu, 2016, PloS one.

An Integrative Computational Framework Based on a Two-Step Random Forest Algorithm Improves Prediction of Zinc-Binding Sites in Proteins

Jiangning Song, Tatsuya Akutsu, Kazuhiro Takemoto, 2012, PloS one.

FunSAV: Predicting the Functional Effect of Single Amino Acid Variants Using a Two-Stage Random Forest Model

Xing-Ming Zhao, Jiangning Song, Tatsuya Akutsu, 2012, PloS one.

Nested structure acquired through simple evolutionary process.

Masanori Arita, Kazuhiro Takemoto, Masanori Arita, 2010, Journal of theoretical biology.

Metabolic networks are almost nonfractal: a comprehensive evaluation.

Kazuhiro Takemoto, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Current Understanding of the Formation and Adaptation of Metabolic Systems Based on Network Theory

Kazuhiro Takemoto, K. Takemoto, Kazuhiro Takemoto, 2012, Metabolites.

Local cause of coherence in Boolean networks

Kazuhiro Takemoto, Michael A. Savageau, Shogo Matsumoto, 2006, nlin/0611049.

Heterogeneous distribution of metabolites across plant species

Masanori Arita, Kazuhiro Takemoto, Masanori Arita, 2009, 0903.2883.

Does Habitat Variability Really Promote Metabolic Network Modularity?

Kazuhiro Takemoto, K. Takemoto, Kazuhiro Takemoto, 2013, PloS one.

Metabolic Network Modularity in Archaea Depends on Growth Conditions

Kazuhiro Takemoto, K. Takemoto, Suritalatu Borjigin, 2011, PloS one.

Introduction to Complex Networks: Measures, Statistical Properties, and Models

Kazuhiro Takemoto, Chikoo Oosawa, K. Takemoto, 2012 .

PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework.

Gholamreza Haffari, Geoffrey I. Webb, Jiangning Song, 2018, Journal of theoretical biology.

Theoretical estimation of metabolic network robustness against multiple reaction knockouts using branching process approximation

Tatsuya Akutsu, Takeyuki Tamura, Kazuhiro Takemoto, 2013, 1307.4922.

Global COVID-19 transmission rate is influenced by precipitation seasonality and the speed of climate temperature warming

Kazuhiro Takemoto, Katsumi Chiyomaru, K. Takemoto, 2020, medRxiv.

Structure of n-clique networks embedded in a complex network

Tatsuya Akutsu, Kazuhiro Takemoto, Chikoo Oosawa, 2007, physics/0702160.

Correction: Does Habitat Variability Really Promote Metabolic Network Modularity?

Kazuhiro Takemoto, 2013, PLoS ONE.