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Computational Systems Bioinformatics - Methods and Biomedical Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Computational Systems Bioinformatics - Methods and Biomedical Applications
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Wong, Stephen T.C. 作者
World Scientific Publishing Co Pte Ltd
譯者
2008-2 出版日期
300 頁數
$ 122.04 價格
HRD
叢書系列
9789812707048 圖書編碼

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發表於2024-09-20

Computational Systems Bioinformatics - Methods and Biomedical Applications 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Computational Systems Bioinformatics - Methods and Biomedical Applications 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Computational Systems Bioinformatics - Methods and Biomedical Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Computational Systems Bioinformatics - Methods and Biomedical Applications 在線電子書 著者簡介

Computational Systems Bioinformatics - Methods and Biomedical Applications 在線電子書 著者簡介

Computational Systems Bioinformatics - Methods and Biomedical Applications 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Computational Systems Bioinformatics - Methods and Biomedical Applications 在線電子書 圖書描述

Computational systems biology is a new and rapidly developing field of research, concerned with understanding the structure and processes of biological systems at the molecular, cellular, tissue, and organ levels through computational modeling as well as novel information theoretic data and image analysis methods. By focusing on either information processing of biological data or on modeling physical and chemical processes of biosystems, and in combination with the recent breakthrough in deciphering the human genome, computational systems biology is guaranteed to play a central role in disease prediction and preventive medicine, gene technology and pharmaceuticals, and other biotechnology fields. This book begins by introducing the basic mathematical, statistical, and data mining principles of computational systems biology, and then presents bioinformatics technology in microarray and sequence analysis step-by-step. Offering an insightful look into the effectiveness of the systems approach in computational biology, it focuses on recurrent themes in bioinformatics, biomedical applications, and future directions for research.

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