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Titlebook: Systems Biology; Integrative Biology Ale? Prokop,Béla Csukás Book 2013 Springer Science+Business Media Dordrecht 2013 computational system

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書目名稱Systems Biology
副標(biāo)題Integrative Biology
編輯Ale? Prokop,Béla Csukás
視頻videohttp://file.papertrans.cn/885/884834/884834.mp4
概述This multi-authored volume presents a unique update in the field of pharmaceutical drugs.The book presents a unique coverage of computational problems and tools related to this field.The selected auth
圖書封面Titlebook: Systems Biology; Integrative Biology  Ale? Prokop,Béla Csukás Book 2013 Springer Science+Business Media Dordrecht 2013 computational system
描述Growth in the pharmaceutical market has slowed down – almost to a standstill. One reason is that governments and other payers are cutting costs in a faltering world economy. But a more fundamental problem is the failure of major companies to discover, develop and market new drugs. Major drugs losing patent protection or being withdrawn from the market are simply not being replaced by new therapies – the pharmaceutical market model is no longer functioning effectively and most pharmaceutical companies are failing to produce the innovation needed for success. This multi-authored new book looks at a vital strategy which can bring innovation to a market in need of new ideas and new products: Systems Biology (SB). Modeling is a significant task of systems biology. SB aims to develop and use efficient algorithms, data structures, visualization and communication tools to orchestrate the integration of large quantities of biological data with the goal of computer modeling. It involves the use of computer simulations of biological systems, such as the networks of metabolites comprise signal transduction pathways and gene regulatory networks to both analyze and visualize the complex connecti
出版日期Book 2013
關(guān)鍵詞computational systems biology; integrative biology; systems approach; systems biology
版次1
doihttps://doi.org/10.1007/978-94-007-6803-1
isbn_softcover978-94-007-9454-2
isbn_ebook978-94-007-6803-1
copyrightSpringer Science+Business Media Dordrecht 2013
The information of publication is updating

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Shinichi Kikuchi,Eberhard O. Voitesearch Center, Yorktown Heights, New York on September 9-10, 1971. This is a very active field of research since efficient techniques for handling sparse matrix calculations are an important aspect of problem solving. In large scale problems, the feasibility of the calculation depends critically on
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Vlado Dan?ík,Amrita Basu,Paul Clemonsby finite difference methods, A great deal of effort has been devoted to the design and study of iterative methods for the solution of such linear systems (Varga (1962A), Wachspress (1966A) and Young (1971B)). Among direct methods, i.e. methods which give an exact solution of the finite difference e
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Amphun Chaiboonchoe,Wiktor Jurkowski,Johann Pellet,Enrico Glaab,Alexey Kolodkin,Antonio Raussel,Antothese equations cannot be solved readily by analytical means. Consequently, efficient computer algorithms for the solution of sparse linear systems derived from the finite difference representations of a partial differential equation on a rectangular grid are of vital importance. In this paper, a ne
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