K. Satou

发表

Computational discovery of miR-TF regulatory modules in human genome

D. Tran, K. Satou, T. Ho, 2010, Bioinformation.

Comparative analysis of protein thermostability: Differences in amino acid content and substitution at the surfaces and in the core regions of thermophilic and mesophilic proteins

K. Satou, Kiyonobua Yokot, S. Ohki, 2006 .

Mining Protein-Protein Interactions at Domain and Residue Levels by Machine Learning Methods

K. Satou, 2014 .

Prediction of human microRNA hairpins using only positive sample learning

Tho Hoan Pham, D. Tran, K. Satou, 2008 .

Prediction of microRNA Hairpins using One-Class Support Vector Machines

Tu Bao Ho, Dang Hung Tran, Tho Hoan Pham, 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.

Applying Deep Learning Models to Mouse Behavior Recognition

Kenji Satou, Bedy Purnama, Mohammad Reza Faisal, 2019, Journal of Biomedical Science and Engineering.

Performance Evaluation of Parallel Processing Environment for Molecular Dynamics

Kenji Satou, Keita Teranishi, Yoichi M. A. Yamada, 2008 .

Comparison of Cluster Identification Methods for Selection of GO Terms related to Gene Clusters

K. Satou, Yoichi Yamada, Y. Miyata, 2008 .

PAAQD: Predicting immunogenicity of MHC class I binding peptides using amino acid pairwise contact potentials and quantum topological molecular similarity descriptors.

Kenji Satou, Yoichi Yamada, Osamu Hirose, 2013, Journal of immunological methods.

Exhaustive identification of conserved upstream open reading frames with potential translational regulatory functions from animal genomes

K. Satou, S. Naito, S. Fukuyoshi, 2020, Scientific reports.

Exhaustive identification of conserved upstream open reading frames with potential translational regulatory functions from animal genomes

K. Satou, S. Naito, S. Fukuyoshi, 2019, Scientific Reports.

Mining Association Rules from Signals found in Mammalian Promoter Sequences

T. Takagi, K. Satou, G. Shibayama, 1995 .

Finding association rules on heterogeneous genome data.

K Satou, T. Takagi, S. Kuhara, 1997, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Comprehensive genome-wide identification of angiosperm upstream ORFs with peptide sequences conserved in various taxonomic ranges using a novel pipeline, ESUCA

K. Satou, S. Naito, T. Endo, 2020, BMC Genomics.

Computational discovery of transcriptional regulatory rules

Tu Bao Ho, Kenji Satou, Tho Hoan Pham, 2005, ECCB/JBI.

Improving the Identification of Non-Anaphoric it using Support Vector Machines

Kentaro Torisawa, Kenji Satou, José Carlos Clemente, 2004, NLPBA/BioNLP.

Drug Interaction Ontology (DIO) for Inferences of Possible Drug-drug Interactions

Sumi Yoshikawa, Akihiko Konagaya, Kenji Satou, 2004, MedInfo.

Feature Analysis and Classification of Particle Data from Two-Dimensional Video Disdrometer

L. A. Nguyen, K. Satou, Ngoc Nguyen, 2015 .

Combined Use of k-Mer Numerical Features and Position-Specific Categorical Features in Fixed-Length DNA Sequence Classification

Kenji Satou, Bedy Purnama, Mohammad Reza Faisal, 2017 .

Network connectivity search and network tra c analysis using a deductive database system with a statistical analysis component

K. Satou, K. Ushijima, Akio Koike, 2007 .

Development of a Deductive Database System for Computing Closures of Similarity Relationships among Protein Structures

Satoru Kuhara, Kenji Satou, Emiko Furuichi, 1996 .

Toward Automatic Construction of Extensional Ontology from Genome Databases

Kenji Satou, Takuya Yagyuu, K. Satou, 2000 .

Development of Support Tool for NMR Spectrum Analysis

Akihiko Konagaya, Kenji Satou, Shin-ichi Tate, 2003, METMBS.

PARALLEL AND PIPELINED DATABASE TRANSFER IN A GRID ENVIRONMENT FOR BIOINFORMATICS

Akihiko Konagaya, Kenji Satou, Yasuhiko Nakashima, 2006 .

Improved Protein Phosphorylation Site Prediction by a New Combination of Feature Set and Feature Selection

Kenji Satou, Bedy Purnama, Mohammad Reza Faisal, 2018 .

Low - level Text Processing for Life Science

Kaoru Yamamoto, Kenji Satou, Akihiko Konagaya, 2004 .

Grid Computing in Life Science

Kenji Satou, Akihiko Konagaya, A. Konagaya, 2005 .

A Deductive Database System PACADE for the Protein Structure Analysis

Kenji Satou, Emiko Furuichi, Toshihisa Takagi, 1991 .

Proceedings of the First international conference on Life Science Grid

Kenji Satou, Akihiko Konagaya, A. Konagaya, 2004 .

Toward Ontology-Based Knowledge Extraction from Biomedical Literature

Akihiko Konagaya, Kenji Satou, Satoshi Kamegai, 2002 .

SIGMBI Panel Session: On the Approach to the Nature of Protein by Computing

Kiyoshi Asai, Kenji Satou, Motonori Ota, 2001 .

Kenji Satou, Emiko Furuichi, Toshihisa Takagi, 1992 .

Contractive Conformational Change of Calmodulin Caused by the Central Linker: A Molecular Dynamics Simulation Study

Kenji Satou, Kiyonobu Yokota, Hongzhen Li, 2005, METMBS.

Support Vector Machines for Prediction and Analysis of β-turns and γ-turns in Proteins (特集「医療及び化学情報マイニング」および一般)

Tu Bao Ho, Kenji Satou, Tho Hoan Pham, 2004 .

Deep learning from big data on cancer

Kenji Satou, K. Satou, 2014 .

A Novel Over-Sampling Method and its Application to Cancer Classification from Gene Expression Data

Kenji Satou, Mamoru Kubo, Yoichi M. A. Yamada, 2013 .

Resampling Methods to Handle the Class-Imbalance Problems in Predicting Protein-Protein Interaction Site and Beta-Turn

K. Satou, Nguyen Thi Lan Anh, Nguyễn Thị Lan Anh, 2013 .

ProtTrans-Glutar: Incorporating Features From Pre-trained Transformer-Based Models for Predicting Glutarylation Sites

Kunti Robiatul Mahmudah, K. Satou, Bedy Purnama, 2022, Frontiers in Genetics.

Data Preprocessing for Improving Cluster Analysis and Its Application to Short Text Data

K. Satou, Tran Vu Anh, 2015 .

Distributed Representation of Biomedical Words for Drug Repositioning

K. Satou, Ngo Duc Luu, 2016 .

A Study on the Protein Phosphorylation Site Prediction by a Set of New Features and Feature Selection with Grid Search

K. Satou, 2017 .

A Study on the Application of Cross-Entropy Based Sparse Logistic Regression to Phenotype Classification in Methicillin-Resistant Staphylococcus

K. Satou, 2018 .

A Study on the Effect of Feature Selection against Categorical and Numerical Features in Fixed-length DNA Sequence Classification

K. Satou, Phan Dau, 2017 .

Predicting residue contacts for protein-protein interactions by integration of multiple information

Xuan Tho Dang, Vu Anh Tran, K. Satou, 2014 .

Ranking and selection of features for improved prediction of nucleosome occupancy and modification

K. Satou, Yoichi Yamada, Masanori Higashihara, 2008 .

Classification of Imbalanced Data Represented as Binary Features

Yasunori Iwata, Kenji Satou, Kunti Robiatul Mahmudah, 2021, Applied Sciences.

Automatic Extraction of Expression-Related Features Shared by a Given Group of Genes

Kagehiko Kitano, Takashi Ito, Kenji Satou, 2003 .

Qualitatively predicting acetylation and methylation areas in DNA sequences.

Tu Bao Ho, Kenji Satou, Gabriel Valiente, 2005, Genome informatics. International Conference on Genome Informatics.

Factors to preserve CpG-rich sequences in methylated CpG islands

K. Satou, Yoichi Yamada, Osamu Hirose, 2015, BMC Genomics.

Detection and normalization of biases present in spotted cDNA microarray data: a composite method addressing dye, intensity-dependent, spatially-dependent, and print-order biases.

S. Muta, S. Kuhara, K. Satou, 2005, DNA research : an international journal for rapid publication of reports on genes and genomes.

MicroRNA Expression Profiles for Classification and Analysis of Tumor Samples

Tu Bao Ho, Kenji Satou, Dang Hung Tran, 2011, IEICE Trans. Inf. Syst..

Inferring microRNA and transcription factor regulatory networks in heterogeneous data

Jiuyong Li, Thuc Duy Le, Lin Liu, 2013, BMC Bioinformatics.

A novel over-sampling method and its application to miRNA prediction

Kenji Satou, Osamu Hirose, Xuan Tho Dang, 2013 .

Extraction of knowledge on protein-protein interaction by association rule discovery

Kenji Satou, Takashi Ito, T. Oyama, 2002, Bioinform..

Finding microRNA regulatory modules in human genome using rule induction

Tu Bao Ho, Kenji Satou, Dang Hung Tran, 2008, BMC Bioinformatics.

PLU1 histone demethylase decreases the expression of KAT5 and enhances the invasive activity of the cells.

K. Satou, Minoru Terashima, N. Nozaki, 2011, The Biochemical journal.

Prediction of methylation status on DNA sequences and identification of its important DNA sequence features

K. Satou, Yoichi Yamada, 2008 .

Prediction of Genomic Methylation Status on CpG Islands Using DNA Sequence Features

K. Satou, Yoichi Yamada, 2008 .

Draft Genome Sequence of Saccharomyces cerevisiae Strain Hm-1, Isolated from Cotton Rosemallow

K. Satou, S. Fukuyoshi, A. Ohta, 2018, Microbiology Resource Announcements.

Draft Genome Sequence of Saccharomyces cerevisiae Strain Pf-1, Isolated from Prunus mume

K. Satou, S. Fukuyoshi, A. Oda, 2019, Microbiology Resource Announcements.

Prediction of Subnuclear Location for Nuclear Protein

Kenji Satou, Bedy Purnama, Mamoru Kubo, 2019, BIOINFORMATICS.

Finding conserved and non-conserved reactions using a metabolic pathway alignment algorithm.

Kenji Satou, Gabriel Valiente, J. Clemente, 2006, Genome informatics. International Conference on Genome Informatics.

EpicCapo: epitope prediction using combined information of amino acid pairwise contact potentials and HLA-peptide contact site information

Xuan Tho Dang, Vu Anh Tran, Thi Tu Kien Le, 2012, BMC Bioinformatics.

Comprehensive genome-wide identification of angiosperm upstream ORFs with peptide sequences conserved in various taxonomic ranges using a novel pipeline, ESUCA

K. Satou, S. Naito, T. Endo, 2019, bioRxiv.

Prediction of Histone Modifications in DNA sequences

Tu Bao Ho, Kenji Satou, Dang Hung Tran, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Predicting Βeta-Turns and Βeta-Turn Types Using a Novel Over-Sampling Approach

Kenji Satou, Sergey Gavrilov, Mamoru Kubo, 2014 .

The Enrichment of Texture Information to Improve Optical Flow for Silhouette Image

Kenji Satou, Bedy Purnama, Mera Kartika, 2021 .

Machine Learning Algorithms for Predicting Chronic Obstructive Pulmonary Disease from Gene Expression Data with Class Imbalance

Kenji Satou, Bedy Purnama, Kunti Robiatul Mahmudah, 2021, BIOINFORMATICS.

OBIGrid: A New Computing Platform for Bioinformatics

Fumikazu Konishi, Akihiko Konagaya, Kenji Satou, 2002 .

Discovering statistically non-redundant subgroups

Hannu Toivonen, Jiuyong Li, Kenji Satou, 2014, Knowl. Based Syst..

Classification of Brainwaves for Sleep Stages by High-Dimensional FFT Features from EEG Signals

Bedy Purnama, Mamoru Kubo, Mohammad Reza Faisal, 2020, Applied Sciences.

Draft Genome Sequence of the Aspergillus terreus High-Itaconic-Acid-Productivity Strain IFO6365

K. Satou, S. Fukuyoshi, E. Park, 2020, Microbiology Resource Announcements.

Draft Genome Sequence of Aspergillus terreus High-Itaconic-Acid-Productivity Mutant TN-484

K. Satou, S. Fukuyoshi, A. Oda, 2019, Microbiology Resource Announcements.

DNA Sequence Classification by Convolutional Neural Network

Kenji Satou, Mamoru Kubo, Mohammad Reza Faisal, 2016 .

Validation of MIMGO: a method to identify differentially expressed GO terms in a microarray dataset

K. Satou, M. Oshima, Yoichi Yamada, 2012, BMC Research Notes.

Mining yeast transcriptional regulatory modules from factor DNA-binding sites and gene expression data.

Tu Bao Ho, Kenji Satou, Tho Hoan Pham, 2004, Genome informatics. International Conference on Genome Informatics.

D-IMPACT: A Data Preprocessing Algorithm to Improve the Performance of Clustering

Kenji Satou, Osamu Hirose, Mamoru Kubo, 2014 .

Improving the Prediction of Protein-Protein Interaction Sites Using a Novel Over-Sampling Approach and Predicted Shape Strings

Xuan Tho Dang, Vu Anh Tran, K. Satou, 2013 .

Prediction of Protein-Protein Interaction Sites Using Support Vector Machines

Akihiko Konagaya, Kenji Satou, Yohei Minakuchi, 2003, METMBS.

A Study on the Application of Deep Learning Models to Mouse Behavior Recognition

K. Satou, Nguyen Ngoc Giang, 2019 .

Application of Word Embedding to Drug Repositioning

Kenji Satou, Naoki Yamamoto, Mamoru Kubo, 2016 .

Using Inductive Logic Programming for Predicting Protein-Protein Interactions from Multiple Genomic Data

Tu Bao Ho, Kenji Satou, Tuan Nam Tran, 2005, PKDD.

Estimation of identification methods of gene clusters using GO term annotations from a hierarchical cluster tree

Kenji Satou, Yoichi M. A. Yamada, Yuki Miyata, 2008 .

Application of a deductive database system to search for topological and similar three-dimensional structures in protein

Satoru Kuhara, Kenji Satou, Emiko Furuichi, 1997, Comput. Appl. Biosci..

PLU1 histone demethylase decreases the expression of KAT5 and enhances the invasive activity of the cells.

K. Satou, Minoru Terashima, N. Nozaki, 2011, The Biochemical journal.

SPY: A Novel Resampling Method for Improving Classification Performance in Imbalanced Data

Kenji Satou, Osamu Hirose, Dang Hung Tran, 2015, 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE).

EpicCapo: epitope prediction using combined information of amino acid pairwise contact potentials and HLA-peptide contact site information

Kenji Satou, Osamu Hirose, Mamoru Kubo, 2012, BMC Bioinformatics.

IMPACT: A Novel Clustering Algorithm based on Attraction

Jiuyong Li, Kenji Satou, Mamoru Kubo, 2012, J. Comput..

Reconstruction of phylogenetic relationships from metabolic pathways based on the enzyme hierarchy and the gene ontology.

Kenji Satou, Gabriel Valiente, J. Clemente, 2005, Genome informatics. International Conference on Genome Informatics.

Phylogenetic reconstruction from non-genomic data

Kenji Satou, Gabriel Valiente, José Carlos Clemente, 2007, Bioinform..

Support Vector Machines for Prediction and Analysis of Beta and Gamma-turns in Proteins

Tu Bao Ho, Kenji Satou, Tho Hoan Pham, 2005, J. Bioinform. Comput. Biol..

Prediction and Analysis of β-turns by Support Vector Machine 1 Prediction and Analysis of β-turns in Proteins by Support Vector Machine

Tho Hoan Pham, K. Satou, R. Wilcox, 2003 .

Prediction and Analysis of β-Turns in Proteins by Support Vector Machine

Tho Hoan Pham, K. Satou, T. Ho, 2003 .