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石田貴士 2020年 研究業績一覧 (9件 / 223件)
論文
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Aizhen Ren,
Takashi Ishida,
Yutaka Akiyama.
Mathematical proof of the third order accuracy of the speedy double botstrap method,
Communication in Statistics-Theory and Methods,
Taylor & Francis,
Vol. 49,
issue 16,
pp. 3950-3964,
Aug. 2020.
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Shuichiro Makigaki,
Takashi Ishida.
Sequence alignment generation using intermediate sequence search for homology modeling,
Computational and Structural Biotechnology Journal,
ELSEVIER,
Vol. 18,
pp. 2043-2050,
July 2020.
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Shuichiro Makigaki,
Takashi Ishida.
Sequence alignment using machine learning for accurate template-based protein structure prediction,
Bioinformatics, btz483,
Oxford University Press,
Vol. 36,
1,
pp. 104-111,
Jan. 2020.
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Kento Aoyama,
Masanori Kakuta,
Yuri Matsuzaki,
Takashi Ishida,
Masahito Ohue,
Yutaka Akiyama.
Development of computational pipeline software for genome/exome analysis on the K computer,
Supercomputing Frontiers and Innovations,
Vol. 7,
No. 1,
pp. 37-54,
2020.
公式リンク
国内会議発表 (査読なし・不明)
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Haris Hasic,
Takashi Ishida.
Single-step Retrosynthesis Prediction based on the Identification of Potential Disconnection Sites,
The Chem-Bio Informatics Society 2020 Annual Meeting,
Oct. 2020.
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白石幹,
石田貴士.
深層学習ネットワーク構造の検討によるタンパク質天然変性領域予測手法の改良,
日本バイオインフォマティクス学会2020年年会(IIBMP2020),
Sept. 2020.
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Haris Hasic,
Takashi Ishida.
Singlestep Retrosynthesis Prediction based on the Identification of Potential Disconnection Sites using Molecular Substructure Fingerprints,
Informatics in Biology, Medicine and Pharmacology (IIBMP2020),
Sept. 2020.
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Jason Kurniawan,
Takashi Ishida.
Quality Assessment of Protein Structure Modelsusing Molecular Dynamics Trajectories,
Informatics in Biology, Medicine and Pharmacology (IIBMP2020),
Sept. 2020.
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武居佑真,
石田 貴士.
3DCNNを用いたタンパク質予測構造モデル評価手法の進化的情報の利用による改良,
日本バイオインフォマティクス学会2020年年会(IIBMP2020),
Sept. 2020.
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