Stochastic Modelling for Systems Biology, Third Edition
暫譯: 系統生物學的隨機建模（第三版）

Wilkinson, Darren J.

Stochastic Modelling for Systems Biology, Third Edition
  • 出版商: CRC
  • 出版日期: 2018-11-21
  • 售價: $4,880
  • 貴賓價: 9.5 折 $4,636
  • 語言: 英文
  • 頁數: 404
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1138549282
  • ISBN-13: 9781138549289

    • 海外代購書籍(需單獨結帳)

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商品描述

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems, and the statistical inference chapter has also been extended with new methods, including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology, Third Edition is now supplemented by an additional software library, written in Scala, described in a new appendix to the book.

New in the Third Edition

 

 

 

 

 

 

 

 

 

 

  • New chapter on spatially extended systems, covering the spatial Gillespie algorithm for reaction diffusion master equation models in 1- and 2-d, along with fast approximations based on the spatial chemical Langevin equation
  • Significantly expanded chapter on inference for stochastic kinetic models from data, covering ABC, including ABC-SMC
  • Updated R package, including code relating to all of the new material
  • New R package for parsing SBML models into simulatable stochastic Petri net models
  • New open-source software library, written in Scala, replicating most of the functionality of the R packages in a fast, compiled, strongly typed, functional language

Keeping with the spirit of earlier editions, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.

 

商品描述(中文翻譯)

自從《隨機建模於系統生物學》的第一版以來，在使用「無似然」的貝葉斯推斷方法來處理複雜隨機模型方面出現了許多有趣的發展。本書第三版已全面更新，以反映這些變化，涵蓋了在系統生物學背景下對生物網絡的隨機動力學建模所需的所有知識。書中包含了新的方法和應用，並且使用 R 語言來實際說明算法的部分也大幅擴展。新增了一章關於空間擴展系統的內容，統計推斷章節也擴展了新的方法，包括近似貝葉斯計算（ABC）。《隨機建模於系統生物學，第三版》現在還附加了一個用 Scala 編寫的額外軟體庫，並在書中的新附錄中進行了描述。

第三版的新內容

- 新增關於空間擴展系統的章節，涵蓋了反應擴散主方程模型的空間 Gillespie 算法，並提供基於空間化學朗之萬方程的快速近似方法
- 大幅擴展了從數據推斷隨機動力學模型的章節，涵蓋了 ABC，包括 ABC-SMC
- 更新的 R 套件，包括與所有新材料相關的代碼
- 新的 R 套件，用於將 SBML 模型解析為可模擬的隨機 Petri 網模型
- 新的開源軟體庫，使用 Scala 編寫，複製了 R 套件的大部分功能，並以快速、編譯、強類型的函數式語言實現

遵循早期版本的精神，所有新理論以非常非正式和直觀的方式呈現，力求使文本對最廣泛的讀者群體保持可接近性。這一新版本有效地介紹了計算系統生物學中隨機建模的領域，增加了額外的細節和計算方法，將為更高級的隨機生物建模課程的發展提供更堅實的基礎。

作者簡介

Darren Wilkinson is Professor of Stochastic modelling at Newcastle University in the United Kingdom. He was educated at the nearby University of Durham, where he took his first degree in Mathematics followed by a PhD in Bayesian statistics which he completed in 1995. He moved to a Lectureship in Statistics at Newcastle University in 1996, where he has remained since, being promoted to his current post in 2007. Professor Wilkinson is interested in computational statistics and Bayesian inference and in the application of modern statistical technology to problems in statistical bioinformatics and systems biology. He is also interested in some of the "big data" challenges that arise in bioscience and more generally. He serves on Biotechnology and Biological Sciences Research Council's Strategy Advisory Panel for Exploiting new ways of working and is co-Director of Newcastle's Engineering and Physical Sciences Research Council Centre for Doctoral Training in Cloud Computing for Big Data. He is also a Fellow of the Alan Turing Institute for data science and artificial intelligence.

作者簡介(中文翻譯)

Darren Wilkinson 是英國紐卡索大學的隨機建模教授。他在附近的杜倫大學接受教育，獲得數學學士學位後，於1995年完成了貝葉斯統計的博士學位。1996年，他轉任紐卡索大學的統計學講師，並自此留在該校，於2007年晉升至目前的職位。Wilkinson教授對計算統計和貝葉斯推斷感興趣，並專注於將現代統計技術應用於統計生物信息學和系統生物學中的問題。他也對生物科學及更廣泛領域中出現的一些「大數據」挑戰感興趣。他擔任生物技術和生物科學研究委員會的策略諮詢小組成員，專注於開發新工作方式，並共同擔任紐卡索工程與物理科學研究委員會雲計算大數據博士培訓中心的主任。他也是艾倫·圖靈數據科學與人工智慧研究所的研究員。

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