Computational Systems Bioinformatics - Methods And Biomedical Applications - Stephen Tin Chi Wong

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Computational Systems Bioinformatics - Methods And Biomedical Applications

By: Stephen Tin Chi Wong, Xiaobo Zhou

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Hardcover | 4 January 2008

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Hardcover
400 Pages

Dimensions(cm)
22.61 x 15.24 x 2.03

Hardcover

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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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You Can Find This Book In

Non-Fiction Science Biology, Life Sciences Life Sciences in General Genetics excluding Medical Molecular Biology Computing & I.T.Computer Science Cellular Biology Graphical & Digital Media Applications 3D Graphics & Modelling Engineering & Technology

Biochemical Engineering Biotechnology Booktopia Publisher Services World Scientific Publishing

Preface	p. v
Introduction	p. 1
Mathematical, Statistical, and Data Mining Principles	p. 15
Missing Value Estimation Using KNN and Bayesian Methods	p. 38
Normalization, Scaling, and Discretization	p. 60
Cross-platform Comparison	p. 80
Discovering Differential Biomarkers	p. 99
Gene Selection and Classification	p. 115
Gene Clustering	p. 162
Gene Prediction	p. 186
Reverse Engineering: Gene Regulatory Network Construction and Its Behavior	p. 219
Motif Detection and Transcription Factor Binding Site (TFBS) Identification	p. 251
Integrated Microarray and Gene Sequence Analysis	p. 274
Protein Structure Informatics	p. 307
Biomarker Discovery from Proteomics	p. 327
Bioimaging Informatics	p. 348
Conclusions	p. 373
Index	p. 377
Table of Contents provided by Ingram. All Rights Reserved.

Computational Systems Bioinformatics - Methods And Biomedical Applications

At a Glance

Hardcover

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How to return your order

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