| 书目名称 | In Silico Immunology | | 编辑 | Darren Flower,Jon Timmis | | 视频video | | | 概述 | In silico Immunology" summarizes the three different disciplines now poised to engineer a paradigm shift from hypothesis- to data-driven research: theoretical immunology, immunoinformatics, and Artifi | | 图书封面 |  | | 描述 | Whatever its final readership and impact, we, the Editors, feel this book is im portant. It addresses the realisation that there is a deep and abiding synergy, albeit one only now being properly explored and exploited, between immunol ogy and computational science. This area of intersection we christen in silico immunology. Immunology is an inspiration for computational scientists seek ing practical and philosophical metaphors for their work; but, at the same time, it is itself a biological discipline of such discombobulating complexity that only computational help as different as simulation and data warehousing can make its modern study tractable. Thus immunology both inspires but also requires computational science. This book deals in detail with the three main areas of in silico immunology: theoretical immunology, immunoinformatics, and artificial immune systems. While all of these are now well-established the interactions between the three are only beginning to be developed. It is a truly exciting time to be working in in silicio immunology. We are reaching a critical mass that will enable great strides to be taken and significant achievements to be made. Like David Hume, we | | 出版日期 | Book 2007 | | 关键词 | In silico; Master Patient Index; algorithms; artificial immune systems; computational science; immunoinfo | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-39241-7 | | isbn_softcover | 978-1-4419-4264-7 | | isbn_ebook | 978-0-387-39241-7 | | copyright | Springer-Verlag US 2007 |
The information of publication is updating
|
|
发表于 2025-3-21 16:56:23
