博士論文

4種類の免疫ペプチド分類問題を解決する機械学習アプローチ

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4種類の免疫ペプチド分類問題を解決する機械学習アプローチ

Persistent ID (NDL)
info:ndljp/pid/11690868
Material type
博士論文
Author
Khatun, MST Shamima
Publisher
-
Publication date
2021-03-25
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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Notes on use at the National Diet Library

Notes on use

Note (General):

九州工業大学博士学位論文 学位記番号:情工博甲第358号 学位授与年月日:令和3年3月25日令和2年度

Detailed bibliographic record

Summary, etc.:

Peptides play an important role in all aspects of the immunological reactions to invading cancer and pathogen cells. It has been known for over 40-yea...

Table of Contents

  • 2023-08-05 再収集

  • 2023-10-11 再収集

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Bibliographic Record

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Digital

Material Type
博士論文
Author/Editor
Khatun, MST Shamima
Author Heading
Publication Date
2021-03-25
Publication Date (W3CDTF)
2021-03-25
Alternative Title
Machine learning approaches for addressing classification problems of four types of immune-peptides
Contributor
倉田, 博之
Degree grantor/type
九州工業大学
Date Granted
2021-03-25