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Saigo Hiroto  西郷 浩人

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saigo hiroto  西郷 浩人

SAIGO Hiroto  西郷 浩人

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Researcher Number 90586124
Other IDs
Affiliation (Current) 2025: 九州大学, システム情報科学研究院, 准教授
Affiliation (based on the past Project Information) *help 2018 – 2024: 九州大学, システム情報科学研究院, 准教授
2016: 九州大学, システム情報科学研究院, 准教授
2012 – 2015: 九州工業大学, 情報工学研究院, 准教授
2013: 九州工業大学, 情報工学部生命情報工学科, 准教授
2012: 九州工業大学, 大学院・情報工学研究院, 准教授
2012: 九州工業大学, 生命情報工学科, 准教授
2011: 九州工業大学, 大学院情報工学研究院, 准教授
Review Section/Research Field
Principal Investigator
Basic Section 61030:Intelligent informatics-related / Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 60030:Statistical science-related / Medium-sized Section 62:Applied informatics and related fields / Statistical science / Statistical science
Except Principal Investigator
Basic Section 26060:Metals production and resources production-related / Perceptual information processing / Environmental technology/Environmental materials
Keywords
Principal Investigator
機械学習 / 物性予測 / 多相融体の粘度 / ガウス過程 / 転移学習 / 特徴選択 / 非線形回帰 / ロバスト推定 / 電気抵抗 / 高温多相融体 … More / 放射性廃棄物 / 化合物 / タンパク質 / 勾配降下法 / 実験計画 / 解釈可能性 / CNN / ベイズ最適化 / 回帰 / 操業データ / 疎性非線形モデル / 鉄鋼製造 / 深層学習 / 外挿予測 / 鉄鋼生産 / 異常検知 / 国際情報交換、ドイツ / 頻出パターンマイニング / 情報量基準 / epistasis / ゲノムワイド相関解析(GWAS) / カーネル / 線形混合モデル / 多重検定 / アイテムセットマイニング / モデル選択 / カーネル法 / model selection / hypothesis testing / kernel methods / variable selection / SNP / GWAS / 国際研究者交流、フランス、スイス / クラスタリング / ケモインフォマティクス / バーチャルスクリーニング / 国際情報交換(フランス、スイス) / ゲノム統計解析 / 医薬生物 … More
Except Principal Investigator
機械学習 / サスペンション / 粘度 / 酸化物 / 界面電荷 / レオロジー特性 / 実験式 / 多相流体 / 転移学習 / 回帰計算 / ガウス過程 / 粘弾性流体 / 非ニュートン流体 / フォーム / 見かけ粘度 / 構造分類 / 画像認識 / 相互部分空間法 / 多視点画像 / 3次元構造 / タンパク質 / 次世代シークエンス解析 / トランスクリプトーム / 環境修復技術 / ヒ素 / Pteris vittata / 次世代シークエンシング解析 / ファイトレメディエーション / 環境浄化技術 Less
  • Research Projects

    (9 results)
  • Research Products

    (55 results)
  • Co-Researchers

    (3 People)
  •  A machine learning approach to dealing with high-level radioactive wastes by controlling physical properties of high-temperature multiphase meltPrincipal Investigator

    • Principal Investigator
      西郷 浩人
    • Project Period (FY)
      2023 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60030:Statistical science-related
      Basic Section 61030:Intelligent informatics-related
      Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
    • Research Institution
      Kyushu University
  •  A machine learning approach to automatic design of genes, proteins and chemical compoundsPrincipal Investigator

    • Principal Investigator
      西郷 浩人
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Challenging Research (Exploratory)
    • Review Section
      Medium-sized Section 62:Applied informatics and related fields
    • Research Institution
      Kyushu University
  •  Impact of Interfacial and Electrical Characteristics on Rheological Property of Molten Oxide-based Suspension at High Temperature

    • Principal Investigator
      齊藤 敬高
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 26060:Metals production and resources production-related
    • Research Institution
      Kyushu University
  •  Development of algorithms for manufacture informatics and its evaluation in steel industryPrincipal Investigator

    • Principal Investigator
      saigo hiroto
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      Kyushu University
  •  Estimation of rheological characteristics of dual phase fluid at high temperature utilizing transfer learning

    • Principal Investigator
      Saito Noritaka
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 26060:Metals production and resources production-related
    • Research Institution
      Kyushu University
  •  3D protein analysis based on the multiple view images

    • Principal Investigator
      FUKUI Kazuhiro
    • Project Period (FY)
      2013 – 2014
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Perceptual information processing
    • Research Institution
      University of Tsukuba
  •  A GWAS study considering multiple genic/invironmental factorsPrincipal Investigator

    • Principal Investigator
      Saigo Hiroto
    • Project Period (FY)
      2013 – 2016
    • Research Category
      Grant-in-Aid for Young Scientists (A)
    • Research Field
      Statistical science
    • Research Institution
      Kyushu University
      Kyushu Institute of Technology
  •  Development of amethod to extract structural features from large-scale protein-lig and dataPrincipal Investigator

    • Principal Investigator
      SAIGO Hiroto
    • Project Period (FY)
      2011 – 2012
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Statistical science
    • Research Institution
      Kyushu Institute of Technology
  •  Transcriptome analysis of As-hyperaccumulator, Pteris vittata, for the soil remediation system.

    • Principal Investigator
      HATAYAMA Masayoshi
    • Project Period (FY)
      2011 – 2012
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Environmental technology/Environmental materials
    • Research Institution
      Tohoku University

All 2024 2023 2022 2021 2020 2019 2017 2016 2015 2014 2013 2012 2011

All Journal Article Presentation Book

  • [Book] "Matrix Decomposition-based Dimensionality Reduction on Graph Data" in Sakr, S. and Pardede, E. editors "Graph Data Management: Techniques and Applications"2011

    • Author(s)
      Hiroto Saigo, Koji Tsuda
    • Total Pages
      25
    • Publisher
      IGI Global
    • Data Source
      KAKENHI-PROJECT-23700338
  • [Book] IGI Global "MatrixDecomposition-based Dimensionality Reduction on Graph Data" , "Graph Data Management: Techniques and Applications"2011

    • Author(s)
      Hiroto Saigo, Koji Tsuda, Sakr, S. and Pardede, E. editors
    • Data Source
      KAKENHI-PROJECT-23700338
  • [Journal Article] pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model2023

    • Author(s)
      Pratyush, P., Pokharel, S., Saigo, H., KC.D.B.
    • Journal Title

      BMC Bioinform.

      Volume: 24(1) Issue: 1

    • DOI

      10.1186/s12859-023-05164-9

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K19834, KAKENHI-PROJECT-19H04176
  • [Journal Article] Einstein-Roscoe regression for the slag viscosity prediction problem in steelmaking2022

    • Author(s)
      Saigo, H., Bahadur, K.C.D, Saito, N.
    • Journal Title

      Scientific Reports

      Volume: 12 Issue: 1

    • DOI

      10.1038/s41598-022-10278-w

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Journal Article] Topic modeling for sequential documents based on hybrid inter-document topic dependency2021

    • Author(s)
      Li, W. and Saigo, H. and Tong, E. and Suzuki, E.
    • Journal Title

      Journal of Intelligent Information Systems

      Volume: 56(3) Pages: 453-458

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Journal Article] Sparse nonnegative interaction models2021

    • Author(s)
      Takayanagi, M., Tabei, Y., Suzuki, E., Saigo, H
    • Journal Title

      IEEE Access

      Volume: 9 Pages: 109994-110005

    • DOI

      10.1109/access.2021.3099473

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Journal Article] RF-MaloSite and DL-Malosite: Methods based on random forest and deep learning to identify malonylation sites2020

    • Author(s)
      Al-barakati, H.J., Thapa, N., Saigo, H., Roy, K., Newman, R.H., Bahadur, K.C.D.
    • Journal Title

      Computational and Structural Biotechnology Journal

      Volume: 18 Pages: 852-860

    • DOI

      10.1016/j.csbj.2020.02.012

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Journal Article] DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction2020

    • Author(s)
      Thapa, N., Chaudhari, M., McManus, S., Roy, K., Newman, R.H., Saigo, H., KC, D.B.
    • Journal Title

      BMC Bioinformatics

      Volume: 21(Suppl 3)

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Journal Article] DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteins2020

    • Author(s)
      Chaudhari, M., Thapa, N., S., Roy, K., Newman, R.H., Saigo, H., KC, D.B.
    • Journal Title

      Molecular Omics

      Volume: 16

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Journal Article] RF-GlutarySite: a random forest predictor for glutarylation sites2019

    • Author(s)
      Al-barakati, H.J., Saigo, H., Newman, R.H., Bahadur, K.C.D.
    • Journal Title

      Molecular Omics,

      Volume: 15 Issue: S3 Pages: 189-204

    • DOI

      10.1186/s12859-020-3342-z

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Journal Article] KDSNP: a Kernel-based approach to Detecting high-order SNP interactions2016

    • Author(s)
      Kodama, K., Saigo, H.
    • Journal Title

      Journal of Bioinformatics and Computational Biology

      Volume: 14(5)

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Journal Article] Structural Class Classification of 3D Protein Structure Based on Multi-View 2D Images2016

    • Author(s)
      Suryanto, C. H., Saigo, H., Fukui, K.
    • Journal Title

      IEEE Transactions on Computational Biology and Bioinformatic

      Volume: PP(99) Issue: 1 Pages: 286-299

    • DOI

      10.1109/tcbb.2016.2603987

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Journal Article] Mining discriminative patterns from graph data with multiple labels and its application to QSAR2015

    • Author(s)
      Shao, Z., Hirayama, Y., Yamanishi, Y., Saigo, H.
    • Journal Title

      Journal of Chemical Information and Modeling

      Volume: 55 Issue: 12 Pages: 2519-2527

    • DOI

      10.1021/acs.jcim.5b00376

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25700004, KAKENHI-PROJECT-25700029
  • [Journal Article] Fast iterative mining using sparsity-inducing loss functions2013

    • Author(s)
      Saigo, H., Kashima, H., Tsuda, K.
    • Journal Title

      IEICE Transaction on Information and Systems

      Volume: -

    • NAID

      130003370958

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700338
  • [Journal Article] Fast iterative mining using sparsity-inducing loss functions2013

    • Author(s)
      Saigo. H., Kashima. H., Tsuda, K
    • Journal Title

      IEICE Transaction on Information and Systems

      Volume: Vol.E96-D No.8 Pages: 1766-1773

    • NAID

      130003370958

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Journal Article] Fast iterative mining using sparsity-inducing loss functions2013

    • Author(s)
      Saigo, H., Kashima, H., Tsuda, K.
    • Journal Title

      IEICE Transaction onInfbrmation and Systems

      Volume: E96-D(8)

    • NAID

      130003370958

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700338
  • [Journal Article] Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions2011

    • Author(s)
      Yoshihiro Yamanishi, Edouard Pauwels, Hiroto Saigo, Veronique Stoven
    • Journal Title

      Journal of Chemical Information and Modeling

      Volume: 51(5) Issue: 5 Pages: 1183-1194

    • DOI

      10.1021/ci100476q

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23700338
  • [Presentation] A Branch-and-Bound Approach to Efficient Classification and Retrieval of Documents.2024

    • Author(s)
      Kotaro Ii, Hiroto Saigo, Yasuo Tabei
    • Organizer
      International Conference on Pattern Recognition Applications and Methods
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K19834
  • [Presentation] A Branch-and-Bound Approach to Efficient Classification and Retrieval of Documents.2024

    • Author(s)
      Kotaro Ii, Hiroto Saigo, Yasuo Tabei
    • Organizer
      International Conference on Pattern Recognition Applications and Methods
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K28046
  • [Presentation] Benchmarking a Wide Range of Unsupervised Learning Methods for Detecting Anomaly in Blast Furnace.2024

    • Author(s)
      Kendai Itakura, Dukka Bahadur, Hiroto Saigo
    • Organizer
      International Conference on Pattern Recognition Applications and Methods
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K28046
  • [Presentation] Benchmarking a Wide Range of Unsupervised Learning Methods for Detecting Anomaly in Blast Furnace.2024

    • Author(s)
      Kendai Itakura, Dukka Bahadur, Hiroto Saigo
    • Organizer
      International Conference on Pattern Recognition Applications and Methods
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K19834
  • [Presentation] 機械学習・深層学習を用いた高炉の教師なし異常検知2022

    • Author(s)
      板倉健大; 西郷浩人
    • Organizer
      第25回情報論的学習理論ワークショップ
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Presentation] 深層学習を利用した高炉内の異常検知2021

    • Author(s)
      木崎亮介, 西郷浩人
    • Organizer
      人工知能学会 第116回人工知能基本問題研究会(SIG-FPAI)
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Presentation] 深層学習を利用した高炉内の異常検知2021

    • Author(s)
      木崎亮介, 西郷浩人
    • Organizer
      第24回情報論的学習理論ワークショップ(IBIS)
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Presentation] Automatically mining relevant variable interactions via sparse Bayesian learning; International Conference of Pattern Recognition2021

    • Author(s)
      Yafune, R., Sakuma, D., Tabei, Y., Saito, N., Saigo, H.
    • Organizer
      International Conference of Pattern Recognition (ICPR2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Presentation] Automatically mining relevant variable interactions via sparse Bayesian learning; International Conference of Pattern Recognition2021

    • Author(s)
      Yafune, R., Sakuma, D., Tabei, Y., Saito, N., Saigo, H.
    • Organizer
      International Conference for Pattern Recognition (ICPR)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Presentation] Bayesian Optimization for Sequence Data2020

    • Author(s)
      Kohei Oyamada and Hiroto Saigo
    • Organizer
      ICBBB2020
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Presentation] Context-Aware Latent Dirichlet Allocation for Topic Segmentation2020

    • Author(s)
      Li, W., Matsukawa, T., Saigo, H., Suzuki
    • Organizer
      Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Presentation] A Sparse Bayesian Approach to Combinatorial Feature Selection and Its Applications to Biological Data2020

    • Author(s)
      Ryoichiro Yafune, Daisuke Sakuma, Yasuo Tabei, Noritaka Saito, Einoshin Suzuki and Hiroto Saigo
    • Organizer
      ICBBB2020
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Presentation] DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction2019

    • Author(s)
      Thapa, N., Chaudhari, M., McManus, S., Roy, K., Newman, R.H., Saigo, H., KC, D.B.
    • Organizer
      Joint GIW/ABACBS-2019 Bioinformatics Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Presentation] アイテムセットを用いたスパースベイズ学習2019

    • Author(s)
      矢船 僚一朗、西郷 浩人
    • Organizer
      人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Presentation] 変数間作用を考慮した非負スパースモデルの正則化経路探索2019

    • Author(s)
      高柳 未来、田部井 靖生、西郷 浩人
    • Organizer
      人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Presentation] SVM-GlutarySite: A Support Vector Machine-Based Prediction of Glutarylation Sites from Protein Sequences2019

    • Author(s)
      Hussam Albarakati, Hiroto Saigo, Robert Newman and Dukka KC
    • Organizer
      MCBIOS2019
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04176
  • [Presentation] 応答変数が連続値の際の組み合わせ仮説に対する多重検定補正法2017

    • Author(s)
      井ノ口敬章, 永野竜輝, 西郷浩人
    • Organizer
      人工知能基本問題研究会(第103回)
    • Place of Presentation
      大分県湯布院公民館
    • Year and Date
      2017-03-13
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] KDSNP: a Kernel-based approach to Detecting high-order genetic Epistasis2016

    • Author(s)
      Kodama, K., Saigo, H.
    • Organizer
      International Conference on Genome Informatics (GIW2016)
    • Place of Presentation
      Shanghai, China,
    • Year and Date
      2016-10-03
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] Scalable Partial Least Squares Regression on Grammar- Compressed Data Matrices2016

    • Author(s)
      Tabei, Y., Saigo, H., Yamanishi, Y., Puglisi, S.
    • Organizer
      ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2016)
    • Place of Presentation
      San Francisco, U.S.
    • Year and Date
      2016-08-13
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] An extended linear mixture model approach to modeling population structure2015

    • Author(s)
      Michizoe, Saigo
    • Organizer
      IIBMP2015
    • Place of Presentation
      京都大学化学研究所
    • Year and Date
      2015-10-29
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] Efficient enumeration of statically significant SNP interaction2015

    • Author(s)
      Yamaguchi, Saigo
    • Organizer
      IIBMP2015
    • Place of Presentation
      京都大学化学研究所
    • Year and Date
      2015-10-29
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] Estimating the number of interacting SNPs in case control study2015

    • Author(s)
      Koyanagi, Saigo
    • Organizer
      IIBMP2015
    • Place of Presentation
      京都大学化学研究所
    • Year and Date
      2015-10-29
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] A branch-and-bound algorithm for searching a block with interacting SNPs2015

    • Author(s)
      Matsumoto, Saigo
    • Organizer
      IIBMP2015
    • Place of Presentation
      京都大学化学研究所
    • Year and Date
      2015-10-29
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] RF-NR: Random forest based approach for improved classification of Nuclear Receptors2015

    • Author(s)
      Ismail, H.D., Saigo, H., Bahadur, K.C.D.
    • Organizer
      International Conference on Genome Informatics & International Conference on Bioinformatics (GIW/InCoB2015)
    • Place of Presentation
      Odaiba, Tokyo
    • Year and Date
      2015-09-09
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] Drug Side Effects Prediction by Multiple Graph PLS2015

    • Author(s)
      Hirayama, Saigo
    • Organizer
      IIBMP2015
    • Place of Presentation
      京都大学化学研究所
    • Year and Date
      2015-10-29
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] カイ二乗検定によるp値の下限値を利用した遺伝子相互作用の効率的な数え上げ2015

    • Author(s)
      山口、西郷
    • Organizer
      第42回バイオ情報学研究会
    • Place of Presentation
      沖縄科学技術先端大学院大学
    • Year and Date
      2015-06-23
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] Mining discriminative patterns from graph data with multiple labels2014

    • Author(s)
      Saigo. H
    • Organizer
      BMIRC International Symposium
    • Place of Presentation
      Iizuka, Fukuoka, Japan
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] SNP間相互作用探索アルゴリズム2013

    • Author(s)
      池田直人、西郷浩人
    • Organizer
      第16回情報論的学習理論ワークショップ
    • Place of Presentation
      東京工業大学
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] カーネル法によるSNP間相互作用数の推定法2013

    • Author(s)
      児玉研人、西郷浩人
    • Organizer
      第16回情報論的学習理論ワークショップ
    • Place of Presentation
      東京工業大学
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] Learning from treatment history to predict response to anti-HIV therapy2013

    • Author(s)
      Saigo, H.
    • Organizer
      BMIRC International Symposium on Frontiers in Computational Systems Biology and Bioengineering
    • Place of Presentation
      Lizuka, Japan
    • Year and Date
      2013-03-01
    • Data Source
      KAKENHI-PROJECT-23700338
  • [Presentation] Learning from treatment history to predict response to anti-HIV therapy2013

    • Author(s)
      Saigo, H.
    • Organizer
      BMIRC International Symposium on Frontiers in Computational Systems Biology and Bioengineering
    • Place of Presentation
      Iizuka, Japan
    • Data Source
      KAKENHI-PROJECT-23700338
  • [Presentation] Comparison of clustering algorithms towards efficient virtual screening2013

    • Author(s)
      Hiroyuki Iguchi, Hiroto Saigo
    • Organizer
      日本バイオインフォマティクス学会 2013年年会
    • Place of Presentation
      タワーホール船越
    • Data Source
      KAKENHI-PROJECT-25700004
  • [Presentation] Protein Clustering on Grassmans Manifold Pattern Recognition in Bioinformatics2012

    • Author(s)
      Suryanto, C.H., Saigo, H., Fukui, K.
    • Place of Presentation
      Tokyo, Japan
    • Year and Date
      2012-11-10
    • Data Source
      KAKENHI-PROJECT-23700338
  • [Presentation] An algorithm for searching multiple SNP interactions2012

    • Author(s)
      Ikeda, N., Saigo, H.
    • Organizer
      Special Interesting Group on Bioinformatics
    • Place of Presentation
      Iizuka, Japan
    • Data Source
      KAKENHI-PROJECT-23700338
  • [Presentation] An algorithm for searching multiple SNP interactions Special Interesting Group on Bioinformatics2012

    • Author(s)
      Ikeda, N., Saigo, H
    • Place of Presentation
      Lizuka, Japan
    • Year and Date
      2012-08-09
    • Data Source
      KAKENHI-PROJECT-23700338
  • [Presentation] An algorithm for searching multiple SNP interactions2012

    • Author(s)
      Ikeda, N., Saigo, H.
    • Organizer
      Joint Conference on Informatics in Biology, Medicine and Pharmacology
    • Place of Presentation
      Funakoshi, Japan
    • Data Source
      KAKENHI-PROJECT-23700338
  • [Presentation] Protein Clustering on Grassmans Manifold2012

    • Author(s)
      Suryanto, C.H., Saigo, H., Fukui, K.
    • Organizer
      Pattern Recognition in Bioinformatics
    • Place of Presentation
      Tokyo, Japan
    • Data Source
      KAKENHI-PROJECT-23700338
  • [Presentation] An algorithm for searching multiple SNP interactions Joint Conference on Informatics in Biology, Medicine and Pharmacology2012

    • Author(s)
      Ikeda, N., Saigo, H
    • Place of Presentation
      Funakoshi, Japan
    • Year and Date
      2012-10-14
    • Data Source
      KAKENHI-PROJECT-23700338
  • 1.  Saito Noritaka (80432855)
    # of Collaborated Projects: 4 results
    # of Collaborated Products: 4 results
  • 2.  HATAYAMA Masayoshi (30447148)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  FUKUI Kazuhiro (40375423)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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