＜電子ブック＞
Mathematical and Computational Studies on Progress, Prognosis, Prevention and Panacea of Breast Cancer / by Suhrit Dey, Charlie Dey
(Forum for Interdisciplinary Mathematics. ISSN:23646756)
| 版 | 1st ed. 2021. |
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| 出版者 | (Singapore : Springer Nature Singapore : Imprint: Springer) |
| 出版年 | 2021 |
| 本文言語 | 英語 |
| 大きさ | XXXVII, 351 p. 235 illus., 134 illus. in color : online resource |
| 著者標目 | *Dey, Suhrit author Dey, Charlie author SpringerLink (Online service) |
| 件 名 | LCSH:Mathematics -- Data processing
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LCSH:Mathematical models LCSH:Medicine -- Research 全ての件名で検索 LCSH:Biology -- Research 全ての件名で検索 LCSH:Bioinformatics LCSH:Medical genetics LCSH:Computer science FREE:Computational Science and Engineering FREE:Mathematical Modeling and Industrial Mathematics FREE:Biomedical Research FREE:Computational and Systems Biology FREE:Medical Genetics FREE:Computer Science |
| 一般注記 | Introduction -- Statistics: The Backgrounds & The Basis -- Attacker & Defender Model: The Dynamics of the Immune System -- Mathematical Modeling of Metastatic Cancer -- Mathematical/Computational Modeling of Advanced Immunotherapy -- Mathematical Modeling & Computational Studies On The War Against Breast Cancer -- Gene Therapy -- The Smartest Fighters -- Nutritional Therapy -- The Fateful Code & The Future Course -- Conclusion This book’s aim is to study the mathematical and computational models to analyze the progress, prognosis, prevention, and panacea of breast cancer. The book discusses application of Markov chains and transient mappings, Charlie–Simpson numerical algorithm, models represented by nonlinear reaction–diffusion-type partial differential equations, and related techniques. The book also attempts to design mathematical model of targeted strategic treatments by using Skilled Killer Drugs (SKD1 and SKD2) to suggest the improvisation of future cancer treatments. Both graduate students and researchers of computational biology and oncologists will benefit by studying this book. Researchers of cancer studies and biological sciences will also find this work helpful HTTP:URL=https://doi.org/10.1007/978-981-16-6077-1 |
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| 電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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| 電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9789811660771 |
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電子リソース |
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EB00229243 |