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博士論文

アミノ酸配列情報のみからの深層学習によるヒト-ウイルスタンパク質間相互作用の予測に関する研究

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国立国会図書館デジタルコレクション

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DOI[10.18997/0002000934]to the data of the same series

アミノ酸配列情報のみからの深層学習によるヒト-ウイルスタンパク質間相互作用の予測に関する研究

Persistent ID (NDL)
info:ndljp/pid/13739810
Material type
博士論文
Author
築山, 翔
Publisher
-
Publication date
2024-03-25
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
九州工業大学,博士（情報工学）
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九州工業大学博士学位論文 学位記番号: 情工博甲第396号 学位授与年月日:令和6年3月25日令和5年度

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Viral infection is a significant global health concern. SARS-CoV-2 rapidly spread from its emergence and caused a worldwide pandemic. After invading h...

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Table of Contents

Provided by：学術機関リポジトリデータベース（IRDB）（機関リポジトリ）Link to Help Page

  • 1.Introduction| 2. Sequence-based PPI prediction| 3.LSTM-PHV| 4. Cross-Attention PHV| 5.Conclusion| 6. Future works

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Digital

Material Type
博士論文
Title
アミノ酸配列情報のみからの深層学習によるヒト-ウイルスタンパク質間相互作用の予測に関する研究
Author/Editor
築山, 翔
Author Heading
築山, 翔
Publication Date
2024-03-25
Publication Date (W3CDTF)
2024-03-25
Alternative Title
Sequence-based human-virus protein-protein interaction prediction using deep learning
Degree grantor/type
九州工業大学
Date Granted
2024-03-25
Date Granted (W3CDTF)
2024-03-25