Computational Systems Bioinformatics - Methods And Biomedical Applications

Computational Systems Bioinformatics - Methods And Biomedical Applications

by Stephen Tin Chi Wong, Xiaobo Zhou
ISBN-10:
9812707042
ISBN-13:
9789812707048
Pub. Date:
01/04/2008
Publisher:
World Scientific Publishing Company, Incorporated
ISBN-10:
9812707042
ISBN-13:
9789812707048
Pub. Date:
01/04/2008
Publisher:
World Scientific Publishing Company, Incorporated
Computational Systems Bioinformatics - Methods And Biomedical Applications

Computational Systems Bioinformatics - Methods And Biomedical Applications

by Stephen Tin Chi Wong, Xiaobo Zhou

Hardcover

$114.0
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Overview

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.

Product Details

ISBN-13: 9789812707048
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 01/04/2008
Pages: 400
Product dimensions: 6.30(w) x 9.00(h) x 0.90(d)

Table of Contents

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

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